Multiple ChoiceOexecutives with an undergraduate degree earn significantly less than executives with a high school education or lessthere is no significant difference between the two incomesthe interval contains a difference of zeroexecutives with an undergraduate degree earn significantly more than executives with a high school education or less4 A random sample of 30 executives from companies with assets over $1 million was selected and asked for their annual income and level ofeducation The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The mean square error(MSE) was 243.7. The following table summarized the results:Number SampledMean Salary (1,000s)High School orLess749UndergraduateDegree1176.3Master's Degree orMore1278.3When comparing the mean annual incomes for executives with an undergraduate degree and those with a high school education or less, the95% confidence interval shows an interval of 11.7 to 42.7 for the difference. This result indicates that

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Answered: A random sample of 30 executives from…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A Statistics instructor wanted to compare the scores on the same final exam given to students at a local community college and local university. The Statistics instructor feels that students at the community college would be better prepared and have higher exam scores on the final exam. After grading the final exams from both institutions, the Statistics instructor found that for a sample of 36 community college students, the sample had a mean score of 84 with a standard deviation of 3.4. A sample of 45 university students had a mean score 79 with a standard deviation of 2.6. Construct a 95% confidence interval for the difference between population mean exam scores. Round your final results to one decimal place. _____________ ≤ ??? − ????? ≤ ______________
A researcher believes there is a difference in the mean number of days before visible results begin to show among three types of facial creams that reduce wrinkle lines. Several consumers are randomly selected and given one of the three creams. Each participant then recorded the number of days it took to see results. The results are shown in the table. Based on these data, can you conclude that there is a difference between the mean number of days for these three creams? Use a 0.05 level of significance and assume the population distributions are approximately normal with equal population variances. Cream #1 20 20 14 17 15 Cream #2 13 15 15 11 13 Cream #3 14 18 15 16 17 10 Copy Data Step 1 of 2: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to four decimal places.
A teacher collects the following data from 5 college students regarding the number of times they drank alcohol in the last 30 days. We know that the population of college students drink a mean of 4.0 days in the last 30 days (i.e., this is the population mean). Is the mean level in the sample significantly different from the population mean? data: 6,5, 7, 6, 4 - what type of error might you be making - interpret effect size
Grand Strand Family Medical Center treats minor medical emergencies for visitors to the Myrtle Beach area. There are two facilities, one in the Little River Area and the other in Murrells Inlet. The Quality Assurance Department wishes to compare the mean waiting time for patients at the two locations. Samples of the waiting times for each location, reported in minutes, follow: Location Waiting Time Little River 31.73 28.77 29.53 22.08 29.47 18.60 32.94 25.18 29.82 26.49 Murrells Inlet 22.93 23.92 26.92 27.20 26.44 25.62 30.61 29.44 23.09 23.10 26.69 22.31 Assume the population standard deviations are not the same. At the 0.05 significance level, is there a difference in the mean waiting time? Click here for the Excel Data File Find the degrees of freedom for unequal variance test. (Round down your answer to the nearest whole number.) State the decision rule for 0.05 significance level: H0: μLitttle River = μMurrells Inlet; H1: μLitttle River ≠…
Americans tend to dine out multiple times per week. The number of times a sample of 20 families dined out last week provides the following data.7 1 6 4 8 4 0 3 1 34 1 2 4 1 1 5 7 4 1(a)Compute the mean and median.mean median (b)Compute the first and third quartiles.first quartile third quartile (c)Compute the range and interquartile range.range interquartile range (d)Compute the variance and standard deviation. (Round your answers to two decimal places.)variance standard deviation (e)The skewness measure for these data is 0.46. Comment on the shape of this distribution.The skewness measure of 0.46 indicates the data are somewhat ---Select---.Is it the shape you would expect? Why or why not? ---Select---, most people dine out a relatively few times per week and a few families dine out very frequently, therefore we would expect the data to be ---Select---.(f)Compute the lower and upper limitslower limit upper limit
A survey has been conducted recently to study the hourly wages of part-time employees at the Food Delivery services sector. The result was organized into the following frequency distribution. Hourly Wages Number of Part-time Employees $40 − less than $50 12 $50 − less than $60 26 $60 − less than $70 35 $70 − less than $80 17 $80 − less than $90 8 $90 − less than $100 2 (i) Calculate the mean, mode and standard deviation of the hourly wages. (ii) Calculate the coefficient of variation. (iii) If the median is equal to 64, calculate Pearson’s 2nd coefficient of skewness and interpret your answer briefly. (iv) The government wants to carry out similar survey next year. If the error of a point estimate of the mean is not more than $1.5, use the 97% confidence level to determine the sample size required to achieve this error.
A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…
Students in an experimental psychology class did research on depression as a sign of stress. A test was administered to a sample of 30 students. The scores are given. Complete parts (a) through (c) below. 32 54 11 15 35 21 OA. 158 34 15 55 51 11 35 2 1457 3 1234567 4123445566 511245666 34 33 46 OB. 11155 (a) Find the mean and median of the data. The mean is . (Round to three decimal places as needed.) 44 26 27 The median is .(Type an integer or a decimal.) (b) Draw a stem-and-leaf plot for the data using one row per stem. Which stem-and-leaf plot below shows the data? 2 112677 3 233445556 4 244666 5 1456 ... 21 42 38 OA. The distribution is symmetric. B. The distribution is skewed right (positively skewed). OC. The distribution is skewed left (negatively skewed). O D. The distribution is uniform. (c) Describe the shape of the distribution. Which description below best describes the shape of the distribution? 56 46 OC. 1112455668 2 14556 3 15 4 13457 5 223446667 46 27 33 35 22 44 36 0…
Suppose that Randy is an analyst for the bicyling industry and wants to estimate the asking price of used entry-level road bikes advertised online in the southeastern part of the United States. He obtains a random sample of ?=11 online advertisements of entry-level road bikes. He determines that the mean price for these 11 bikes is ?⎯⎯⎯=$703.75 and that the sample standard deviation is ?=$189.56. He uses this information to construct a 95% confidence interval for ?, the mean price of a used road bike. a) What is the lower limit of this confidence interval? Please give your answer to the nearest cent. b) What is the upper limit of this confidence interval? Please give your answer to the nearest cent.
According to a recent article about individuals who have credit cards, the mean number of cards per person with credit cards is 4.5. To test this result a random survey of 60 individuals who have credit cards was conducted. The survey only includes the number of credit cards per participant. The results of the survey are attached below. (a) What is the variable of interest in this study? Is it qualitative or quantitative? (b) Do the results of the survey imply that the mean number of cards per individual is less than 4.5? Use the a = 0.05 level of significance. E Click the icon to view the data from the survey. (a) What is the variable of interest in this study? Is it qualitative or quantitative? The variable of interest is number of credit cards.It is a quantitative variable. (b) Do the results of the survey imply that the mean number of cards per individual is less than 4.5? Use the a = 0.05 level of significance. State the null and alternative hypotheses. Họ: H = 4.5 < 4.5 H1: H…
Can someone answer g.) h.) and i.) please?
Women stereotypically talk more than men do and researchers wondered how much more. Suppose a study attempted to determine the difference in the mean number of words spoken by men or women per day. The results of the study are summarized in the table. Group Populationmean Samplesize Samplemean Sample standarddeviation Standard errorestimate women ?w (unknown) ?w= 36 ?⎯⎯⎯w= 14704 ?w=6215 SEw=1036 men ?m (unknown) ?m= 24 ?⎯⎯⎯m= 15022 ?m=7864 SEm=1605 df=41.4224 Assume the conditions are satisfied for a two‑sample ?‑confidence interval. First, determine the positive critical value, ?, for a 95% confidence interval to estimate how many more words women speak each day on average compared to men, ?w−?m. Give your answer precise to at least three decimal places. Determine lower and upper limits of a 95% confidence interval for how many more words speak each day on average compared to men. A negative number would indicate how many fewer words women speak each day on average…

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