Think about doing an Independent-Measures ANOVA, Step 3.  If the data are as follows, find the SS-between.   GROUP 1 GROUP 2 GROUP 3 1 3 5 3 2 7 2 4 6   Group of answer choices SS-between = 6.00 SS-between = 13.00 SS-between = 26.00 SS-between = 42.00

Think about doing an Independent-Measures ANOVA, Step 3.  If the data are as follows, find the SS-between.   GROUP 1 GROUP 2 GROUP 3 1 3 5 3 2 7 2 4 6   A) SS-between = 26.00 B) SS-between = 42.00 C) SS-between = 6.00 D) SS-between = 13.00

A hospital administrator wants a statistic to calculate the relationship between the degree of patient satisfaction and whether that patient was treated in the ER or admitted to the hospital. one-sample t point-biserial correlation O independent-measures t sign test

Which measure of central tendency would be the most appropriate for this set of data? (3, 8, 1, 6, 3, 4, 11, 3, 4, 3, 5) mode variance mean median

A person is interested in studying the amount of time (in minutes ) people spend on social media in a day. The following data is collected from a sample of 12 people : 45, 60,25,55,75,90,100,120,105,80, 0 and 220. Does the data contain outlier(s)? Explain your reasoning. ( use empirical rule and use the quartile method to check ).

A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 ▼ Part 1 of 4 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital…

What is the slope of the median median line for the dataset in this table?

At the .05 significance level, does the data below show significant correlation? x y 3 12.87 4 13.66 5 17.95 6 23.44 7 15.93 8 13.62 9 27.91

What would you conclude if 17 pairs of data produce a linear correlation coefficient of r = 0.456 if the significance level is 0.05. Must show critical value and decision before writing the conclusion.

Adverse reactions of a drug used to help patients continue their abstinence from the use of alcohol have been studied in clinical trials, and the accompanying table summarizes results for digestive system effects among patients from different treatment groups. Use a 0.05 significance level to test the claim that experiencing an adverse reaction in the digestive system is independent of the treatment group. Does the drug treatment appear to have an effect on the digestive system? Click the icon to view the data on adverse reactions from treatments. Determine the null and alternative hypotheses. OA. Ho: Drug treatment and adverse effects are not independent. H₁: Drug treatment and adverse effects are independent. OB. Ho: The drug treatment results in adverse effects on the digestive system. H₁: The drug treatment does not result in adverse effects on the digestive system. OC. Ho: Drug treatment and adverse effects are independent. H₁: Drug treatment and adverse effects are not…