A researcher conducts a study comparing two treatments and reports the t statistic as t(25) = 2.10. A) If the study used between-subjects design, how many individuals participated in the entire study? B) If the study used within-subjects design, how many individuals participated in the entire study? C) Using a two-tailed test with α = .05, is there a significant difference between the two treatments

Is there an association between daily screen time and exercise habits in high school students? Mia selects a random sample of 123 high school students and categorizes them into 1 of 3 categories of screen time and whether they exercise. She would like to determine if there is convincing evidence of an association. Let  = 0.05. What are the hypotheses for this test? H0: There is an association between daily screen time and exercise habits in high school students.Ha: There is no association between daily screen time and exercise habits in high school students.H0: There is no association between daily screen time and exercise habits in high school students.Ha: There is an association between daily screen time and exercise habits in high school students.H0: There is no difference in the distribution of daily screen time and exercise habits in high school students.Ha: There is a difference in the distribution of daily screen time and exercise habits in high school students.H0: There is a…

my answer for part b) of 6.24 was: (4.3, 9.26) so the variability in Hours is equal to 4.3 hours to 9.26 hours and in minutes its 258 to 555.6 minutes. I also posted 6.24 the previous exercise so that you have all the information but I need help with 6.25.

What is the answer?

When only two treatments are involved, ANOVA and the Student’s t-test (Chapter 11) result in the same conclusions. Also, for computed test statistics, t2 = F. To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of six students who took the course in the normal lecture format. The other group of eight students took the course in a distance format. At the end of the course, each group was examined with a 50-item test. The following is a list of the number correct for each of the two groups. Traditional Lecture Distance 36 45 31 35 40 45 34 35 33 45 38 36   43   41   a-1. Complete the ANOVA table. (Round your SS, MS, and F values to 2 decimal places and p-value, F crit to 4 decimal places.)     Source of Variation SS df MS F p-value F crit Treatment 96.01 1 96.01 5.67 0.0350   Error 203.21 12 16.93       Total 299.21 13…