24. If an analysis of variance is used for the following data, what would be the effect of changing SS2 to 100? Sample Data M1 = 30 M2 = 25 SS1 = 120 SS2 = 50

Mean 1 = 17, SD 1=7.89 Mean 2= 89, SD 2= 6.69 R = -0.84 What is the proportion of variance shared between the two variables? (How much of the variance in one variable can be predicted by the variance in the other variable?)

If an analysis of variance is used for the following data, what would be the consequences of changing the value of SS1=90 to SS1=50? Sample Data M1 = 10      M2 = 15 SS1 = 90    SS2 = 70     a. increase SSwithin and increase the size of the F-ratio   b. increase SSwithin and decrease the size of the F-ratio   c. decrease SSwithin and increase the size of the F-ratio

According to U.S. climate data, the monthly average high temperatures, in degrees Fahrenheit, for the city of Chicago are listed below. 32,34,43,55,65,75,81,79,73,61,47,36 Find the five-number summary for this data. Select the correct answer below:

3.2 By comparing sample sd and sample variance, Total Sales Persons/100,000 Population has less dispersion than Sales/100,000 Population. Why?

The accompanying data table lists measures of self-esteem from a student project. The objective of the project was to study how levels of self-esteem in subjects relate to their perceptions of self-esteem in other target people who were described in writing. The test here works well even though the data are at the ordinal level of measurement. Use a 0.05 significance level and apply the methods of two-way analysis of variance. What is the conclusion? Click on the icon to view the data table. F = 5.48 (Round to two decimal places as needed.) What is the corresponding P-value of the test statistic, F, for this test? P-value = 0.006 (Round to three decimal places as needed.) State the conclusion of this test. Reject Ho. There is sufficient evidence to warrant rejection of the claim that measurems of self-esteem are not affected by an interaction between the subject's self-esteem and the target's self- esteem. There does appear to be an effect from an interaction between the self-esteem of…

2. Suppose the weight of fish caught from the Santa Monica Pier is normally distributed. From a random sample of 20 recently caught fish, the sample mean is found to be 22.0 ounces and the sample variance is found to be 25.0 ounces. The Fish and Wildlife Department states that the true mean weight is 24.0 ounces. Fishermen claim that due to increased pollution in the bay, the true mean weight is less than 24.0 ounces. Test the claim of the Fish and Wildlife Department at α = 0.05 (or 5%). [14 pts total] What is the null hypothesis? [2 pt] a. Ο μ = 24 Ο μ 24 b. What is the one-sided alternative hypothesis? [2 pt] μ = 24 Ο μ 24 μ = 24 Draw a t-distribution for the alternative hypothesis. Label the mean and shade in the area(s) where you can reject the null hypothesis. [4 pts] d. Calculate and report the appropriate test statistic (3 sig figs) [4 pts] and make your conclusion [2 pts] Reject the null hypothesis Value of test statistic: Fail to reject the null hypothesis 2

A veterinarian wanted to know if there is any difference in the average lifespan of four different breeds of dogs. He took a random sample of five dogs from four different breeds. Here are the results when he ran a one way ANOVA test: Options Analysis of Variance results: Data stored in separate columns. Column statistics Columnn Mean Std. Dev. Std. Error + Terrier Retriever 5 Hound Bulldog 5 13 1.5811388 0.70710678 12.6 2.0736441 0.92736185 5 13.8 2.1679483 0.96953597 5 12 1.8708287 0.83666003 ANOVA table Source DF SS MS F-Stat P-value Columns 3 8.55 2.85 0.76 0.5328 Error 16 60 3.75 Total 19 68.55 What can we conclude from the one way ANOVA test?

Please answer questions ( iv , v, vi)  for question iv the options are a. sample variance, b. sample proportion c. sample mean)

3. Without some correction, sample variability is said to be "biased." Define the term biased, and explain how this bias is corrected in the formula for sample variance. %3D