Dr. Smith would like to know whether culture has a significant effect on people's self-esteem. The psychologist randomly selected 10 individuals from each of the following 4 different ethnic groups: Caucasian, African American, Latino, Asian. Each individual was given a standardized self-esteem questionnaire. The data from this study were examined using an analysis of variance. The ANOVA shows that MSwithin = 2 and SStotal = 132. Please generate a complete ANOVA table based on the information provided and answer Dr. Smith’s question. alpha = .01.

The accompanying data set lists performance IQ scores for random samples of subjects with blood lead levels categorized as low (1), medium (2), and high (3). Use a 0.05 significance level to test the claim that subjects in those categories have the same median performance IQ score (IQP). Does lead exposure appear to have an adverse effect? Click the icon to view the data for IQ and Lead Exposure First determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: The samples come from populations with medians that are not all equal. H₁: The samples come from populations with equal medians. O B. Ho: The samples come from populations with equal medians. H₁: The samples come from populations with medians that are not all equal. OC. Ho: The samples come from populations with equal means. H₁: The samples come from populations with means that are not all equal. O D. Ho: The samples come from populations with means that are not all equal. H₁: The samples come from…

A researcher was curious whether psychology majors earned a different amount of money after college compared to business majors. The mean salary for business majors 5 years after graduation is 55,000. She asked 22 recent psychology graduates their salaries and found that M=48,000 and s=12,000. Test the hypothesis that psychology majors make a different amount of money than business majors. Use a significance level of 0.05.

You supervise a YouTube channel that focuses on reviews for movies and television shows. You look at 5 different ways viewers reach your videos. You want to find out if there are better avenues for viewers to find your videos compared to others. You look at your 10 strongest videos and looked at the amount of views over the past day based on how viewers found the videos. Construct a One Way ANOVA to test if there are differences in average views for each avenue for finding videos.

A large department store examined a sample of the 21 credit card sales and recorded the amounts charged for each of three types of credit cards: MasterCard, Visa, and Discover. Six MasterCard sales, seven Visa, and eight Discover sales were recorded. The store used an ANOVA to test if the mean sales for each credit card were equal. What are the degrees of freedom for the F statistic?

Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.

A large company that produces allergy medications claims that Americans lose an average of 40 hours of work to problems related to seasonal allergies. A consumer advocacy group believes that company's claim exhibits self-interest bias. In other words, the advocacy group believes that the actual mean number of missed hours is less than claimed. The advocacy group would like to obtain statistical evidence about this issue and takes a random sample of 100 American workers. They find that these 100 people lost and average of 38 hours due to seasonal allergy symptoms. The standard deviation is 9.5 hours. (c) Based on your selection from part (b), what is the value of the standardized test statistic for this significance test?         (d) Based on your selection from part (b), what is the P-value for this significance test?         (e) What is the correct decision for this test, using a 0.05 level of signifcance?           A) Reject the null hypothesis      B) Do not reject the null…

Temperatures The table on the next page gives theaverage high temperatures in January and July for severalEuropean cities. Write a 90% confidence interval for themean temperature difference between summer and winterin Europe. Be sure to check conditions for inference, andclearly explain what your interval means. Mean HighTemperatures 1°F2City Jan. JulyVienna 34 75Copenhagen 36 72Paris 42 76Berlin 35 74Athens 54 90Rome 54 88Amsterdam 40 69Madrid 47 87London 44 73Edinburgh 43 65Moscow 21 76Belgrade 37 84

ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the following ANOVA table: Source of Variation Between Groups Within Groups Total SS 19.43 2.85 O 3.68 O 19.45 O 3.57 df 68102.33 2 34051.17 Using a = 0.05, the critical F value is MS 29177.67 15 1945.178 97280 17 F

Why are z scores useful, rather than just trying to interpret raw scores?