3 of 14 Next > To see what might be happoning when we rogroup data, consider an experiment that takes 12 subjects and divides them into 2 groups at random. The pontrol group contains 6 subjects and the treatment group contains 6 subjects. To explore what's possible, assume the control group rsuits in the data: 1, 3, 4, 6, 8, and 10. The treatment group results in the data: 2, 5, 7, 9, 11, and 12. Find the differonce in means for the original groups by subtracting the control group mean from the troatrmont group mean. With a smaller data set like this, we can actually consider all of the different arrangements of the data. Thore aro 924 distinct ways to separate the 12 valuos into 2 groups of 6. The frequency table shows all the possible differences in means and how often they occur. Notice that a difference in means of 4.33 occurs 7 times and a difference of -4.33 also occurs 7 times. The dot plot shows the same information. 6 54 3 210 1 23 4 56 difference in means What proportion of possible groupings have a difference at least as great as the difforenco in means for tho original groups? Explain or show your reasoning. Difference in means Frequency

Which of these experimental designs has the most statistical power (is more likely to show a true difference between 2 treatment conditions)? A. Between-Subjects B. Descriptive Study C. Correlational Study D. Within-Subjects

The within subjects ANOVA may be used with

I need help with stats/2023 classify the 2 given samples as independent or dependent. sample 1: the number of home runs hit by 44 professional baseball players in their rookie season sample 2: the number of home runs hit by the same 44 professional baseball players in their final season.   choose the correct answer: A. The 2 given samples are independent because the same athletes were sampled. B. The 2 given samples are independent because the different athletes were sampled C. The 2 given samples are dependent because the same athletes were sampled. D. The 2 given samples are dependent because different athletes were sampled.

7.Which of the values below is closest to the IQR for a normally distributed population with a variance of 36? chosse one: 5,6,7,8,9

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…

Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?

In the US, 45.9% of all people have type O blood, 39.7% have type A blood, 11.2% have type B blood and 3.2% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 569 millionaires. What can be concluded at the significant level of a = 0.01.   The test-statistic for this data =   The p-value for this sample =