Your research group has been hired to study student satisfaction with the dining halls at Illinois State University and your group has determined that 95% of female students are satisfied with their dining services while 55% of male students are satisfied with their the dining services. The sample size of females is 150 students and the sample size of males is 250 students for this study. Based on this information, your research group calculates the z-score to be: [___).
Q: Strack, Martin, and Stepper (1988) reported that people rate cartoons as funnier when holding a pen…
A: The given sample size is 25, mean difference is 1.6 and SS is 150.
Q: Of the 99 participants in a drug trial who were given a new experimental treatment for arthritis, 59…
A: From the given information we have to complete the given two way table
Q: A researcher who is interested in the relationship between health and personality obtains a sample…
A: The objective of the question is to identify the appropriate statistical test to use in a research…
Q: . The National Aeronautics and Space Administration (NASA) buys bolts from two suppliers, and it is…
A: Given data is appropriate for testing of hypothesis . based upon the data we will decide which test…
Q: Minority Models - Negative stereotypical depiction of minorities or their exclusion from…
A: Given: N=1527
Q: If I tested the glucose level of 200 patients, and had the following results:o with disease who…
A:
Q: A health psychologist wants to determine if there is an average effect commonly called “the freshman…
A: Given : A health psychologist wants to determine if there is an average effect commonly called “the…
Q: A researcher wants to know whether the acidity of rain (pH) near Houston, Texas, is significantly…
A: In order to determine whether there is significant difference in the pH of rain in Chicago and…
Q: State the null and alternative hypotheses for the following The data file contains four taste…
A: We have to define H0 and H1 for this problem
Q: Source DF Age Error Total 2 45 47 SS MS 137.78 68.89 6899.54 153.32 7037.32 F 0.45 side ed H) State…
A: If p value is greater than alpha we fail to reject null hypothesis otherwise we reject it
Q: Based on the following research questions, indicate whether you should conduct a z test, a single…
A: In case of single population parameter comparison with a specific value, known population standard…
Q: The following data are SAT scores for entrance into UT and OU. We want to know if the dispersion of…
A: To test:H0: Dispersion of SAT scores is equal for the two schools i.e., V(OU) = V(UT), where V(.) is…
Q: An occupational therapist (OT) is comparing two different treatments to see which is more effective…
A: we have two groups one consisting of participants A, B, C, D and the other treatment is on…
Q: People with z-scores greater than 2.5 on an IQ test are considred as geniuses. If IQ tests have a…
A: given data, μ=100σ=16z- scores greater than 2.5 on an IQ test are considred as geniuses.cutoff…
Q: n 1971, there was a shift in attitudes, as Americans ideal family switched from four kids to two…
A: The median would stay the same as it is not affected by outliers The mean would increase as it is…
Q: Construct a 90% confidence interval for the true difference between the mean amounts of time spent…
A:
Q: Suppose a statistics teacher wants to evaluate whether her students who received online lectures did…
A: The objective of the question is to critique the use of a two-sample z test in a situation where the…
Q: Is the proportion of wildfires caused by humans in the south lower than the proportion of wildfires…
A: Given : x1= 347.0 n1= 556 x2= 341.0 n2= 524 significance level = 0.05
Q: Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats…
A: The question is about hypo. testing for a difference between two popl. means Given : Sample size (…
Q: Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats…
A: Null and alternative hypotheses: Null hypothesis: Null hypothesis is a statement which is tested for…
Q: In a sample of 500 students from statistics courses in the fall semester, 312 earned a grade of C or…
A: Given information: The data represents the number of students and the number of students earned C…
Q: or two colors, you classify your 250 respondents into four categories: male child, female child,…
A: Given, chi-square test of independence : 8.81 Cramer's V value interpretation:
Q: Is the proportion of wildfires caused by humans in the south different from the proportion of…
A: GivenFor wildfires looked at in the southn1=567x1=452p1^=x1n2=452567≅0.7972For wildfires looked at…
Q: A researcher wants to see if there is a difference in APGAR scores of newborns depending on whether…
A: It is needed to test, whether there is a difference in APGAR scores of newborns depending on whether…
Q: The authors of a paper compared two different methods for measuring body fat percentage. One method…
A: The question is about confidence interval Randomly selected no. of athletes ( n ) = 16 Confidence…
Q: BMIS hypocaloric diet and pre-meal water intake significantly lowers BMI. and 29.5, respectively.…
A: Solution: Given that : The 95% confidence interval for the mean difference in tremor amplitude is (…
Q: 4. An experiment was conducted to examine the perfomance (as measured by the mmber of errors made)…
A: a)Null and alternative Hypotheses are as follows:For age:H01: There is no difference in means of age…
Q: This was a question on my homework and I would like to know if I answered it correctly. Thank you…
A: Odds (O):The “odds” of the occurrence of an event is the ratio of the number of occurrences of the…
Q: Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the…
A: We have given that Population mean = 2.6Sample mean = 3.1 Sample standard deviation = 1.1 Sample…
Q: A recent study randomly selected women from various countries around the world and collected…
A:
Q: An article in the November 1983 Consumer Reports compared various types of batteries. The average…
A: An article in the November 1983 Consumer Reports compared various types of batteries. The average…
Q: A hospital was interested in purchasing new thermometers for its Emergency Department. There were…
A: Given Level of significance ɑ=0.05 n=9
Q: A researcher conducts an independent-measures study examining how the brain chemical serotonin is…
A: A. Null and alternate hypotheses: The investigator is specifically interested to test whether the…
Q: The following data are from a study on Botox injections. Patients received a high-dose injection in…
A: To conduct a test to compare the percentages of individuals who have less pain in the E eye vs. the…
Q: The data on the number of chocolate chips per bag for 42 bags of Chips Ahoy! cookies were obtained…
A: Solution: a. Let X be the number of chips per bag for all bags of chips Ahoy! Cookies. From the…
Q: A researcher wants to know whether the acidity of rain (pH) near Houston, Texas, is significantly…
A:
Q: do online students perform differently than students in a traditional classroom? Las semester there…
A: From the provided information, The claim is that there is a difference in the average exam scores…
Q: A Psychology student wanted to study whether there is a difference in stress levels between gender.…
A: The data set is: Male Female 67 70 68 76 67 69 69 75 70 73 68 88 69 68 70 69 70…
Q: The authors of a paper classified characters who were depicted smoking in movies released between a…
A:
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 3 images
- A social psychologist wants to know if people judge a person's attractiveness differently if they appear rich or poor. Two pictures were taken with the same model, one in expensive clothes standing next to a new sports car, and the other in old clothes standing next to an old hatchback car. In an online survey, participants were randomly divided so that they saw one of the two pictures and were asked to rate the model's attractiveness on a scale of 1 to 10. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVAStudies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 Which of the following formulas would you use to calculate the test statistic? and calculate the test statistic to two decimal places (2dp). Test statistic =An industrial psychologist hired by a leading accounting firm wanted to know if the average number of hours worked per week at the firm was significantly different from the national average of 52 hours for accountants. The industrial psychologist randomly sampled n=16 people from different divisions within the firm, and calculated the average number of hours they worked per week over a three-month period. The dependent variable in this study is the number of hours worked per week. The data he obtained were: 54, 48, 68, 53, 60, 45, 57, 62, 71, 60, 55, 63, 68, 64, 56, 60
- The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray Ultrasound 1 5.00 4.25 2 12.00 8.75 3 9.25 9.00 4 12.00 11.75 5 17.25 17.00 6 29.50 27.50 7 5.50 6.50 8 6.00 6.75 9 8.00 8.75 10 9.50 10.50 11 9.25 9.50 12 11.00 12.00 13 12.00 12.25 14 14.00 15.50 15 17.00 18.00 16 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use ?d = ?X-ray − ?ultrasound. Round your answers to three decimal places.) , % Interpret the interval in…As an admissions counselor, I am interested in understanding whether or not there is a difference in stress levels not only between different majors but also between different classes (Freshman v. Seniors). I gather the following data from students from three majors (Psychology, Chemistry, and Engineering), that are in their freshmen or senior years and ask them about their stress levels (scale of 1-10, with lower numbers meaning less stress). Using the data below, test whether there are effects of class, major, or an interaction between them at an alpha of 0.05. Psychology Chemistry Engineering Freshmen 3, 4, 4, 2, 4 4, 5, 7, 8, 4 5, 7, 7, 8, 5 Senior 4, 5, 5, 3, 5 8, 5, 6, 7, 7 9, 9, 8, 7, 9 Complete the ANOVA summary table below: Source SS df MS (variance) F MAJOR CLASS MAJOR*CLASS ERROR/RESIDUAL Nothing here TOTAL Nothing here Nothing here What can we conclude?…The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men 431 187 Yes 442 No 214 What can be concluded at the ax = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer (please enter a decimal and note that p1 and μl represent the proportion and mean for women and p2 and 2 represent the proportion and mean for men.) H₁: Select an answer Select an answer Select an answer (Please enter a decimal) (please show your answer to 3 decimal places.) b. The test statistic c. The p-value = d. The p-value is ? a e. Based on this, we should Select an answer the…
- Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 The 95% confidence interval for the difference (Group 1 – Group 2) in weight gain of rats exposed to excessive noise at night and rats in quiet night environment is (0.7g, 4.3g). Interpret this confidence interval in one or two sentences.2. Metal Tags on Penguins and Survival. Data were collected over a 10-year timespan from a sample of 100 penguins that were randomly given either metal or electronic tags. One variable examined is the survival rate 10 years after tagging. The scientists observed that 10 of the 50 metal tagged penguins survived, compared to 18 of the 50 electronic tagged penguins. Test whether the survival rate is lower among metal- tagged penguins than among electronic-tagged penguins. Use subscripts E for Electronic and M for Metal. a. State hypotheses. b. Calculate the sample statistic PE - PM c. Use Normal distribution methods to calculate a z-test statistic, given SE = 0.0898. d. Find the p-value and draw a Normal curve with z-statistic and appropriate shaded region. Normal curve: p-value: e. State the conclusion of the test in context, using nontechnical language. f. Find a 90% confidence interval to three decimal places for this difference in proportions, given SE= 0.08836. Show your…Mr. Acosta, a sociologist, is doing a study to see if there is a relationship between the age of a young adult (18 to 35 years old) and the type of movie preferred. A random sample of 93 adults revealed the following data. Test whether age and type of movie preferred are independent at the 0.05 level. Movie Drama Science Fiction Comedy Column Total 18-23 yr 10 12 8 30 Person's Age 24-29 yr 11 10 10 31 30-35 уг 13 8. 11 32 Row Total 34 30 29 93 (a) What is the level of significance? State the null and alternate hypotheses. Ho: Age and movie preference are not independent. H7: Age and movie preference are independent. H,: Age and movie preference are not independent. H: Age and movie preference are not independent. • Ho: Age and movie preference are independent. H: Age and movie preference are not independent. O Ho: Age and movie preference are independent. H,: Age and movie preference are independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected…
- Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 The p-value for this test is 0.0086. Make a decision and conclusion for the hypothesis test in context. Use a 5% significance level (α = 0.05).In a One-way Between Subject ANOVA, the number of levels the IV had was 3, and the within/error degrees of freedom was 48. What was the total number of people in the participants analyzed in the studyThe leader of two postpartum women’s support groups is interested in the depression levels of the women in her groups. She administers the Center for Epidemiologic Studies Depression Scale (CES-D) screening test to the members of her groups. The CES-D is a 20-question self-test that measures depressive feelings and behaviors during the previous week. The mean depression level from the screening test for the 10 women in the first group is μ₁ = 16; the mean depression level for the 14 women in the second group is μ₂ = 10. Without calculating the weighted mean for the combined group, you know that the weighted mean is: