Stats 250 Practice Concepts Exam 2 F23

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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 1 of 22 1. Run for Mayor? - Frank will run for mayor of Blueville if there is sufficient evidence that more than 40 percent of voters support him. He will have a survey conducted and will ask a random sample of voters in Blueville whether or not they support him. a. State the appropriate hypotheses to be tested and provide a definition of the corresponding parameter in context. H 0 : _________________________ versus H a : _________________________ where the parameter _____________ represents _____________________________________________ _______________________________________________________________________________________. b. Which of the following distributions would you use to find the corresponding p-value? (Place a clear X on the appropriate line .) ____ t(n-1) ____ t(n-2) ____ Normal (0,1) ____ Chi-square distribution 2. Does Calcium Lower Blood Pressure? - 60 randomly selected teenagers in the US participated in an eight- week study in which they were instructed to take a daily calcium supplement. The blood pressure of each of the 60 randomly selected teenagers was measured at the beginning and again at the end of the study. The researchers considered each teenager’s change in blood pressure (change = post calcium supplement – pre calcium supplement) to assess if a calcium supplement would lower blood pressure, on average, for the population of teenagers in the US, that is, to test H 0 : μ d = 0 versus H a : μ d < 0. The sample mean change was - 2.7 mmHg, indicating a decrease in blood pressure, on average, for the 60 teenagers who participated in the study. a. Provide an estimate of the population mean change in blood pressure (change = post calcium supplement – pre calcium supplement) for the population of all teenagers in the US. Include units. Final Answer: _______=________________ symbol value b. The sample mean change in blood pressure was 2.3 standard errors below the hypothesized population mean change in blood pressure of 0. What is the symbol and value of the test statistic? Final Answer: _______=____________ symbol value c. The p -value for this test is 0.013. Completely specify the distribution that allows for the calculation of this p - value in this situation. Final Answer: ________________ d. Provide an interpretation as to what the p-value of 0.013 means in context.
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 2 of 22 3. Nausea: A certain pain-relief medication causes nausea in 25% of the patients taking it. A new formulation of this medication has been developed. A researcher would like to assess if the population proportion for all patients taking the new formulation who become nauseated is different from the 25% stated rate when using the previous medication. Study results: In a random sample of 500 patients taking a new medication, 110 became nauseated. 1) State the appropriate hypotheses to be tested. 2) Check the necessary assumption(s) (you may assume that the selected sample is a random sample). 3) Perform the appropriate test (include all supporting computations for the test statistic, est. effect size and p-value. 4) Evaluate the p-value and provide a conclusion in context. Your answer needs to be organized well and use labels for your Steps 1, 2, 3, and 4.
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 3 of 22 4. Waste Watch - Waste Watch is a non-profit organization that promotes environmentally friendly methods of waste management. To find out whether or not there is a relationship between waste treatment preferences and city (Smogville versus Litterview), Waste Watch obtained a sample of residents from these two cities. Along with the city of residence, each resident was classified according to their primary method for treating waste. The data and output are as follows: Primary method for treating waste City Incinerator Landfill Compost/Recycle Total Smogville 38 41 21 100 Litterview 28 41 31 100 Total 66 82 52 200 Using the information provided, you are asked to assess if there is a relationship between waste treatment preferences and city of residence for the population of residents represented by the sample. 1) State the appropriate null hypothesis . ] 2) You may assume you have a random sample of results. Check the remaining necessary assumption(s) (show all work) . 3) Perform the appropriate test by providing the test statistic value and the corresponding p -value (show all work). 4) Evaluate the p-value and provide a conclusion in context. You have this page and the next page to provide your answer which needs to be well organized and clearly use labels for your Steps 1, 2, 3, and 4.
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 4 of 22 5 Typing Speed - According to a recent study based on a large random sample of older adults, it is estimated that the average typing speed for all older adults is 28 words per minute (WPM) with a 95% margin of error of 8 WPN. For each of the following statements indicate if it is a correct statement or an incorrect statement. ( Place a clear X on the appropriate line .) a. There is a 95% chance that the population mean typing speed for all older adults is in the interval 20 WPM to 36 WPM. ____ Correct ____ Incorrect b. We are 95% confident that the population mean typing speed for all older adults is in between 20 WPN to 36 WPN. ____ Correct ____ Incorrect c. Based on the study results, the margin of error for a 90% confidence interval for the population mean typing speed for all older adults would be more than 8 WPM. __ _ _ Correct ____ Incorrect 6. Statistical Sommelier ~ A sommelier (or wine expert) with some statistical background would like to compare the population mean wine ratings for the largest four producers of wine – France, Italy, Spain, and the United States. Independent random samples of wines were taken from each of the four countries. Each wine was individually rated on a scale of 1 to 100 points by Wine Enthusiast (a higher rating indicating a better wine). A boxplot of the ratings is provided to the right along with additional R output below. Df Sum Sq Mean Sq F value Pr(>F) Country 3 106.6 35.54 3.725 0.0133 * Residuals 118 1125.7 9.54 a. What role does the variable Country play in this study? Final Answer: ____________________ b. Based on the boxplots, About 75% of the wines from France had a wine rating of at least _______________ points. c. Is the following statement true or false? “Based on the symmetry in the boxplot for Italy, the distribution of wine ratings for the sampled wines from Italy will be approximately bell-shaped.” ______ True _____ False d. Provide the null and alternative hypotheses for the sommelier’s test: H 0 : ___________________________________________________________
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 5 of 22 H A : ___________________________________________________________ e. Provide an interpretation of the p -value of 0.0133 in context. f. All necessary assumptions were met, and the results of the ANOVA test provided support for the alternative hypothesis. So, Tukey’s procedure was then conducted and shown below. The sommelier is slightly confused and seeks your help to understand the results. Briefly explain how these Tukey’s pairwise comparison results at the right are consistent with the results of the ANOVA test. 7. Flight Delays - Thanksgiving weekend is the busiest time for domestic travel across the United States. A consumer advocacy group wants to assess if, during Thanksgiving weekend, all flights from a low-cost airline (group 1) have longer delays, on average, than all flights from a standard commercial airline (group 2), that is to test H 0 : μ 1 = μ 2 versus H a : μ 1 > μ 2 . To put this theory to the test, a random sample of 20 domestic flights from low-cost airlines and an independent random sample of 20 domestic flights from standard commercial airlines was selected during the Thanksgiving weekend and for each recorded the length of time the scheduled flight was delayed (in hours, with 0 would be entered if the flight had no delays). The analyst from the consumer advocacy group working on this project entered the data into R and produces the following output. a. Assuming that, during Thanksgiving weekend, all flights from a low-cost airline have equal delays, on average, compared to all flights from a standard commercial airline, provide the distribution used to find the p -value 0.28515 and the expected test statistic value. Distribution: ______________________________________________ Welch Two Sample t-test data: time by airline t = 0.573, df = 35.296, p-value = 0.28515 H a : true difference in means is greater than 0 95% family-wise confidence level Linear Hypotheses: Estimate lwr upr ITA - FRA == 0 -0.45 -2.55 1.64 SPA - FRA == 0 -2.49 -4.57 -0.41 USA - FRA == 0 -1.05 -3.11 1.01 SPA - ITA == 0 -2.04 -4.01 0.03 USA - ITA == 0 -0.60 -2.65 1.45 USA - SPA == 0 1.44 -0.59 3.46
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 6 of 22 Expected test statistic value: _______________________________ b. Provide a conclusion. 8. Gas Mileage - Each year, the U.S. Department of Energy publishes fuel economy information for new model cars. The data for 2017 car models were released. A random sample of 51 4-cylinder cars was selected, and the city fuel economy (in miles per gallon (MPG)) and the highway fuel economy (in miles per gallon (MPG)) were recorded. A scatterplot of highway MPG versus city MPG is provided along with some R output. a. From the scatterplot, we observe a moderately strong linear relationship. What are the other two observations that should be made from this plot in this initial stage of the regression analysis? 1:_____________________________________________________ 2: _____________________________________________________ b. Give the value of the correlation coefficient between city fuel economy and highway fuel economy. Then, select the appropriate units for this value. (place a clear X on the appropriate line) Value: _________________ c. One car in the sample gets 25 city MPG and 33 highway MPG. Provide the predicted highway MPG for such a car and calculate the residual for this car. Include units . Predicted value: ______________________________ Residual: __________________________________ Scatterplot of fuel economy by MB Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.70536 2.36724 -0.298 0.767 ** City.MPG 1.40031 0.09985 14.025 <2.2e-16 ** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 2.185 on 49 degrees of freedom Multiple R-squared: 0.8006, Adjusted R-squared: 0.7965 F-statistic: 196.7 on 1 and 49 DF, p-value: <2.2e-16 Highway fuel economy (in miles per gallon) City fuel economy (in miles per gallon)
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 7 of 22 d. Based on your calculation of the residual in part (b), does this car get better or worse highway MPG than we would predict? (place a clear X on the appropriate line) ____ better ____ worse e. Provide an interpretation, in context, of the value of 0.8006. f. We would like to assess if there is a significant positive linear relationship between city MPG and highway MPG. Provide the null and alternative hypotheses for this test. H 0 : ___________________________ versus H a : ____________________________________ . g. What is the test statistic that we should use to test these hypotheses? Provide the symbol and its value. Test statistic: __________ = _________________ . symbol value h. Provide a conclusion for the test in part (f). i. Clearly state the regression assumption that the plot at the right is used to check. 2 r
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 8 of 22 9. Distribution of Residents in the United States: An economist wonders if the distribution of U.S. residents in the United States is same today as it was in 2000. In the year 2000, 19.0% of the population of the United States resided in the Northeast (Region 1), 22.9% in the Midwest (Region 2), 35.6% in the South (Region 3), and 22.5% in the West (Region 4). The economist randomly selects 1500 households today in the United States and the results are provided below. Region Northeast (1) Midwest (2) South (3) West (4) Total # of households 282 324 534 360 1500 a. The economist would like to assess if the distribution of U.S. residents in the United States today is the same as it was in 2000. Give the corresponding null hypothesis using appropriate notation. H 0 : ______________________________________________________ b. State and check the necessary condition(s). Are the conditions met? c. Perform the test. Provide the test statistic value, the corresponding distribution and the corresponding p - value. Test statistic value: ___________________________ Distribution : ___________________________ p -value: ___________________________ d. Evaluate the p -value.
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 9 of 22 e. Provide a conclusion. 10. Lunch Drink— Is there a relationship between lunch drink preference (Coffee, Juice, Soft Drink, Tea, or Water) and age when considering three different age groups (child, teenagers, and adults) for all residents in Michigan? To assess if there is an association between lunch drink preference and age groups for all residents of Michigan, we will be conducting a chi-square test of independence. a. Assuming that there is no association between lunch drink preference and age groups for all residents of Michigan, what is the expected test statistic value ? Final Answer: __________________________________ b. Assuming that there is no association between lunch drink preference and age groups for all residents of Michigan, what would be the median value of the test statistic? ____ 0 ____ 7.244 ____ 8 ___ 10.219 c. Assuming that there is no association between lunch drink preference and age groups for all residents of Michigan, what would be value of the 75 th percentile for the test statistic? ____ 0 ____ 7.244 ____ 8 ___ 10.219 d. State all the assumptions that must be met in order to conduct the chi-square test of independence. e. The resulting test statistic value for this chi-square test of homogeneity is 15.69 and the corresponding p - value is 0.047. Provide an interpretation of the p -value in context.
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 10 of 22 f. Assume that now we are interested in assessing if the lunch drink preference (Coffee, Juice, Soft Drink, Tea, or Water) are preferred equally often among all residents in Michigan. What would be the appropriate Chi- square test? _____ Goodness-of-fit _____ Test of Independence 11. Caffeine Consumption – Concerned about caffeine consumed by young adults, a doctor decides to investigate the caffeine consumption levels of college students and high school students. She takes independent and large random samples of college students (group 1) and high school students (group 2). Based on the study results, the 95% confidence interval for the difference in the population mean caffeine consumption levels for the two populations of all college students and all high school students is between (-6.5 mg, 29.8 mg). Based on the 95% confidence interval, could we say that the mean caffeine consumption (in mg) differs between the population of college students and the population of high school students? (place a clear X on the appropriate line below) ____ YES ____ NO ____ NOT ENOUGH INFORMATION IS PROVIDED Explain: (provide numerical support) 12. Carbon Monoxide in LA – The Environmental Protection Agency (EPA) conducted a test to assess if the population average carbon monoxide level in the downtown Los Angeles area is higher than 4.9 parts per million (ppm). The hypotheses tested were: H 0 : μ = 4.9 versus H a : μ > 4.9. The results from a random sample of 25 carbon monoxide readings gave a sample mean of 5.40 ppm, a sample standard deviation of 1.03 ppm, a test statistic value of 2.43 with a corresponding p -value of 0.011 and ࠵? " = 0.486 . a. Provide an interpretation of the p-value of 0.011 in context. b. Below are possible statements for including in the EPA report. You have been asked to determine which statements are appropriate to include and which are not appropriate to include. (place a clear X on the appropriate line below)
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 11 of 22 i. If we construct a confidence interval to estimate the population mean carbon monoxide level using this data, the interval's midpoint would be 5.40 ppm. ____ Appropriate _____ Not Appropriate ii. The sample mean carbon monoxide level of 5.40 ppm is 2.43 standard errors above the hypothesized population mean carbon monoxide level of 4.9 ppm. _____ Appropriate _____ Not Appropriate iii. Based on this sample, there is strong evidence to say that the population mean carbon monoxide level in downtown Los Angeles is 4.9 ppm _____ Appropriate ______ Not Appropriate 13. Herbs may ease Migraines – A homeopathic preparation of ginger and feverfew offered some relief for migraine sufferers in a recent study. In the study, a large group of migraine sufferers treated themselves with the remedy as soon as they felt a migraine developing. The researcher used these results to test if a majority of all migraine sufferers using this homeopathic remedy would be pain free within three hours that is H 0 : p = 0.50 versus H a : p > 0.50. a. Provide a complete definition, in context, of the parameter p. The parameter p represents: ________________________________________________________ _______________________________________________________________________________ b. The resulting test statistic value is 2.45 and the corresponding p-value is 0.0071. Provide an interpretation of the p-value in context 14. Tent Stakes - A company manufactures 43-inch tent stakes. The machinery in the factory is somewhat old and the length of the tent stakes often has some variability. As a result, the lengths of the 43-inch tent stakes are skewed to the right, with a mean length of 43 inches and a standard deviation of 1.7 inches. a. Suppose a tent stake is selected at random, what is the probability that the tent stake is longer than 44 inches? ___ 0.2782 ___ 0.25 ___ 0.05 ___ Unable to determine using the information provided
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 12 of 22 b. Supple repeated samples of 30 tent stakes are selected at random and the sample mean length is computed for each sample of 30 tent stakes. What is the approximate probability that a mean length for a sample of 30 tent stakes is more than 43.5 inches? Final Answer = ____________________ 15. Pet Preference and Age - A researcher was interested in whether there is a relationship between a person’s age and their desire to have a pet. A random sample of 500 Michigan adults was selected and two variables were recorded, age group and pet preference. Age group was defined as older adults (60 years of age or older) versus younger adults (18 years of age up to but not including 60 years of age). Pet preference was defined as the responses to the question “If you could own only one pet, what kind would you choose?” The possible options were “dog,” “cat,” “other pet,” and “no pet.” The table provides the results a. Based on these results, if we randomly selected an older adult, what is the probability that this older adult will respond as preferring to own a dog? b. Based on these results, what is the probability of the event “preferring to own a cat” or “person is a younger adult”? c. What would be the appropriate Chi-square test for assessing if there is a relationship between a person’s age group and their pet preference? _____ Goodness-of-fit _____ Test of Independence d. Assuming there is no relationship between a person’s age group and their pet preference, how many older adults would we have expected to say “dog”?
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 13 of 22 Expected number: _________________ e. The resulting X 2 test statistic is 14.816. Calculate the contribution to this X 2 test statistic from older adults who would say “dog”? f. Find the corresponding p-value. g. Complete the conclusion below: Based on this data, there is not enough some strong very strong evidence to suggest that there is not there is a relationship between a person’s age group and their pet preference. 16. Customer Satisfaction ~ A marketing firm was hired to conduct a quick survey to compare customer satisfaction for four local airlines. A survey was designed with questions about ticketing, boarding, in-flight service, and more. The survey was administered to independent random samples of passengers from the four airlines. For each passenger, a total score (out of 100 points) was computed from the survey responses, with a higher score indicating a more satisfied experience. An ANOVA was conducted to compare the population mean satisfaction scores for these four airlines. Descriptive statistics and ANOVA results from R are provided. mean sd 0% 25% 50% 75% 100% Score:n AA 78.20 7.66 68 75.00 77.0 83.0 88 5 HA 69.17 3.49 65 66.50 69.0 71.5 74 6 JB 87.25 6.08 80 83.75 87.5 91.0 94 4 SA 72.86 5.49 65 69.00 73.0 77.0 80 7 ANOVA Df Sum Sq Mean Sq F value Pr(>F) Airline 3 877.5 292.51 8.966 0.00075 *** Residuals 18 587.2 32.62 a. Based on the boxplots, 25% of the AA passengers had a satisfaction score of at least ___________ points.
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 14 of 22 b. Provide an interpretation of the p -value of 0.00075 in context. c. Suppose the necessary assumptions do hold. Which of the following is the correct conclusion? Place a clear X on the appropriate line : ___ We have very strong evidence to say that it appears that the four population mean satisfaction scores for the four airlines are equal. ___ We have very strong evidence to suggest that at least one population mean satisfaction score is different for the four airlines. ___ We have very strong evidence to suggest that the four population mean satisfaction scores for the four airlines are all different. d. Does there seem to be a significant difference between the population mean satisfaction score for AA Airlines and the population mean satisfaction score for SA Airlines ? Place a clear X on the appropriate line : ____ Yes _____No Briefly explain your reasoning. Be sure to specifically reference which numerical values from the above output you are using to make your choice. Simultaneous Confidence Intervals 95% family-wise confidence level Estimate lwr upr HA - AA == 0 -9.03 -18.80 0.73 JB - AA == 0 9.05 -1.77 19.87 SA - AA == 0 -5.34 -14.78 4.10 JB - HA == 0 18.08 7.67 28.49 SA - HA == 0 3.69 -5.28 12.66 SA - JB == 0 -14.39 -24.50 -4.29
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 15 of 22 17. Living arrangements We are interested in understanding the relationship between the highest degree received and living arrangements among all adults in the US. We take a random sample of 300 adults, and from each subject, we record the highest degree received (High School, Bachelor’s, Master’s, PhD) and living arrangements (own, rent from a private proprietor, rent-free). The results are provided below: Living Arrangements Highest degree received High School Bachelors Masters PhD Total Own 35 24 27 14 100 Rent from a private proprietor 17 42 27 14 100 Rent-free 26 33 27 14 100 Total 78 99 81 42 300 Using this data, we would like to assess if there is a relationship between the highest degree earned and living arrangements among all adults in the US. 1) State the appropriate null hypothesis in context. ] 2) You may assume you have a random sample of results. Check the remaining necessary assumption(s) (show all work) . 3) Perform the appropriate test by providing the test statistic value and the corresponding p -value (show all work). 4) Evaluate the p-value and provide a conclusion . You have this page and the next page to provide your answer which needs to be well organized and clearly use labels for your Steps 1, 2, 3, and 4.
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 16 of 22 18. The New Digital Playbook: A new study indicated that virtually all high school students have access to mobile devices. The study reports that 89% of all high school students (grade 9-12) in the U.S. own a smart phone. Mr. Smith is an AP Statistics teacher at Pioneer High School in Ann Arbor and after reading the study, he is curious what this rate is for all high school students in Ann Arbor. To explore this curiosity, he takes a random sample of 200 Ann Arbor high school students and finds that 156 of the sampled students own a smart phone. Mr. Smith needs your help constructing a 99% confidence interval to the unknown parameter. Complete these steps for reporting a confidence interval estimate for Mr. Smith: Step 1) You may assume the sample of High School Students surveyed is a random sample. Check the remaining necessary assumption using proper notation. Step 2) Provide a 99% confidence interval Step 3) Provide an interpretation of the 99% confidence interval (include context). Step 4) Provide an interpretation of the 99% confidence level (include context) Your work needs to be organized well, so clearly label your work as Step 1), Step 2), Step 3), and Step 4).
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 17 of 22 19. Name that Scenario - For each research problem below, determine if the appropriate method to address the problem would be to make a confidence interval (CI) or to conduct a test of hypotheses (HT) . If a CI , then provide the notation for the corresponding parameter the CI is for. If a HT , then clearly state the appropriate null and alternative hypotheses to be tested. The last scenario has one additional question, so be sure to answer it too. a. Researchers Emilio and Emily want to estimate the proportion of a certain type of tree growing in a national forest that suffers from a disease. They take a representative sample of 200 of the trees from the forest and find that 15 of the 200 sampled trees have the disease. CI for ____________ OR H 0 : _____________________ versus H a : ______________________ b. The manager of the Chatta Department store at the North Mall is interested in estimating the difference between the mean credit purchase of customers using the store’s credit card versus the mean credit purchase for those customers using a national major credit card. CI for ____________ OR H 0 : _____________________ versus H a : ______________________ c. A random sample of twenty-five college women was asked for their own heights and their mothers' heights. The researchers wanted to know whether college women are taller, on average, compared to that of their mothers. CI for ____________ OR H 0 : _____________________ versus H a : ______________________ d. The average monthly rent for a one-bedroom apartment in Phoenix has been $700. With the downturn in the real estate market, a study will be conducted to assess if there has been a decrease in the average rental cost. CI for ____________ OR H 0 : _____________________ versus H a : ______________________ Clearly define the parameter of interest: The parameter _________________ represents _______________________________________ ____________________________________________________________________________
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 18 of 22 20. Travel Agency Name that Scenario - One important aspect in statistics is to understand which statistical methods or procedures are appropriate to use to address the research problem or question of interest. For each description of a research question below, clearly select and write the letter corresponding to the statistical analysis technique most appropriate for addressing that research question. ____ 1. In a recent study 45 randomly selected travel agency customers of were asked to review a new feature on the agency website for finding vacation deals. The results will be used to assess if more than 80% of all customers find the new feature easy to navigate. A. 1-sample t-test for a population mean B. Paired t-test for a population mean difference C. 2-sample t-test for the comparison of two population means D. Regression E. 1-sample Z-test for a population proportion F. 2-sample Z-test for the comparison of two population proportions G. Chi-squared test of independence H. Chi-squared test of goodness of fit ____ 2. A travel agent wants to assess if the preferred cruise line (Norwegian, Holland, Carnival, Royal Caribbean, Other) is associated with the age group of the customer (young adult, middle-aged adult, older adult). ____ 3. The agency has created two new vacation package options (Option 1 and Option 2) for Caribbean Cruise. A random sample of 100 customers planning a Caribbean Cruise was selected, and for each customer we recorded the vacation package option selected. The travel agent would like to assess if a majority of customers prefer Option 1 over Option 2 for all Caribbean Cruise customers. ____ 4. A survey of 100 families who booked a vacation at a Disney World Resort is conducted to assess if the average length of stay is more than 4 days. ____ 5. A student intern at the travel agency designed an experiment to assess if the waiting time at the downtown location is less than that at the satellite location, on average. She plans to collect a random sample of 40 customers who visit the downtown location and an independent random sample of 40 customers who visit the satellite location and record for each the number of minutes the customer had to wait before being helped by an agent. ____ 6. A travel agent wants to assess if there is a significant difference in the average length of stay across these 2 different types of accommodations (major hotel chains and locally owned bed and breakfast) for all tourists visiting coastal cities in Florida?
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 19 of 22 21. Jobs, Jobs, Jobs ~ Jordan, a Master’s student in the School of Information (SI) at a university, is trying to decide which industry to join upon graduation. He has narrowed it down to three choices: 1 = Financial Services, 2 = Healthcare, or 3 = Non-Profit. He gathers three independent random samples of SI alumni who work in one of these three industries. He asks them to self-report their yearly salary (in thousands of dollars). He will use ANOVA to compare the population mean salaries. a. State the basic ANOVA hypotheses and then provide the definition for one of the parameters of interest. ࠵? ! : _____________________________________________________________ ࠵? " : ______________________________________________________________ where one of the parameters is _________ which represents: _______________________________ __________________________________________________________________________________ b. After performing an ANOVA analysis, Jordan obtained a p-value of 0.1145. Based on the data, we do not have some evidence to support the alternative hypothesis. Jordan remembers that for ANOVA we often run Tukey’s procedure as a follow-up analysis. The results of Tukey’s procedure are shown below. Jordan is confused as to why every pairwise confidence interval contains the value of 0. He thought that at least one of these intervals should not contain 0 and wonders if there may have been a mistake in the result. 95% family-wise confidence level Linear Hypotheses: Estimate lwr upr Healthcare - Financial == 0 2.0989 -3.8547 8.0525 NonProfit - Financial == 0 -3.7063 -8.9089 1.4963 NonProfit - Healthcare == 0 -5.8052 -11.9453 0.3349 Provide a brief explanation as to why the Tukey’s output is correct and consistent with the ANOVA results:
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 20 of 22 22. Sixteen people volunteered to be part of an experiment. Eight were male and eight were female. The question of interest in this experiment was whether females receive faster service at restaurants than males. Each of the eight male participants was randomly assigned a restaurant, and each of the eight females was randomly assigned to one of these same eight restaurants. The male and female assigned to the same restaurant would arrive within 5 minutes of each other, with the order determined by flipping a coin (male first or female first). Each person then ordered the same drink and meal. The time (in minutes) until the food arrived at the table was recorded. They are shown on the next page. Restaurant 1 2 3 4 5 6 7 8 ࠵?̅ ࠵? Male 22 14 16 26 18 13 9 27 17.75 5.8737 Female 25 12 13 21 21 14 9 16 16.375 5.4494 Conduct a hypothesis test to determine if there is a mean difference in wait times between males and females. a. What are the appropriate hypotheses to test? ࠵? ! : __________________________ vs ࠵? " : _________________________ b. The test associated with the correct hypotheses in (a) yielded ࠵? = 0.4854 with ࠵? = 0.6349 and ࠵? " = 0.2427. Use these findings in (b) to complete the following sentence: Based on your results from (b), there is (circle one) little some strong very strong extremely strong evidence that the null model is not compatible with our sample results. Our sample results indicate the estimated effect size is (circle one) small. small to moderate. moderate to large. large. The table below offers the results of three different follow-up studies. Study A Study B Study C Test results ࠵? 2.2675 ࠵? 0.0097 ࠵? " 0.2872 Test results ࠵? 2.0625 ࠵? 0.0407 ࠵? " 0.0927 Test results ࠵? 0.4763 ࠵? 0.6785 ࠵? " 0.023
Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 21 of 22 c. Which among them most confirms (or replicates) the findings of the study results in (b)? Provide a 2-3 sentence justification of your choice that compares test statistics, p-values, and estimated effect sizes across the studies. d. Which of the three follow-up studies do you expect was based on the largest overall sample size? Provide a 2- 3 sentence justification of your choice. 23. Sleep Apnea ~ Researchers recently investigated 1 sleep-related breathing disorders in adults with traumatic brain injuries (TBI). The respiratory disturbance index (RDI) represents the number of apneic and hypopneic episodes (snoring, gurgling, air passage obstruction, etc.) per hour of sleep and was used by scientists to measure the severity of a patient’s sleep apnea. The recorded measures for male and female patients are offered in the table above. a. Suppose the researchers want to test to see if there is a meaningful difference in mean RDI levels between male and female patients with traumatic brain injuries. What are the appropriate hypotheses to test? ࠵? ! : __________________________ vs ࠵? " : _________________________ b. The test of the correct hypotheses in (a) yield a t-test statistic of ࠵? = −2.2923 with ࠵? = 0.038 and ࠵? " = −0.8658 , suggesting that there is strong evidence of a difference of mean RDI levels across male and female patients with traumatic brain injuries, and this the effect size describing the difference between these means is quite large. Suppose that a second set of researchers hopes to replicate the findings of the initial study. The tables below show three hypothetical results the researchers might collect, where result A differs in sample size, result B differs in 1 “Sleep Apnea in Adults With Traumatic Brain Injury: A Preliminary Investigation.” Archives of Physical Medicine and Rehabilitation , Vol. 82(3), 316-321. Group Mean ࠵? 8 Standard deviation ࠵? Sample size ࠵? Female 0.9 0.98 7 Male 1.97 1.30 21
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Stats 250: practice problems to reinforce exam 2 material—Fall 23 Page 22 of 22 estimated data variability, and result C differs in difference in mean groups outcomes. The initial study results are reprinted for easy comparison. No computations are required for the exercises below. Initial ࠵?̅ ࠵? ࠵? A ࠵?̅ ࠵? ࠵? B ࠵?̅ ࠵? ࠵? C ࠵?̅ ࠵? ࠵? ࠵? 0.9 0.98 7 ࠵? 0.9 0.98 70 ࠵? 0.9 2.98 7 ࠵? 0.5 0.98 7 ࠵? 1.97 1.30 21 ࠵? 1.97 1.30 210 ࠵? 1.97 3.30 21 ࠵? 2.97 1.30 21 i. Select the study that most replicates the findings of the initial study on sleep apnea. Select only one. o Study A o Study B o Study C ii. Without doing any computations, which of the replication studies would produce an est. effect size ࠵? " that is identical to the one from the initial study? Select only one. o Study A o Study B o Study C iii. Which of the replication studies would produce a p-value that is larger than the one from the initial study? Select all that apply. o Study A o Study B o Study C iv. Which of the replication studies would produce a p-value that is smaller than the one from the initial study? Select all that apply. o Study A o Study B o Study C
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