Researchers examine the relationship between church attendance and hours spent on homework each week for a random sample of 80 high school students. students were grouped into four categories based on frequency of church attendance: never attend, attend infrequently, attend frequently, attend very frequently. null hypothesis: for high school students, there is a no relationship between church attendance and hours spent on homework each week (i. e. the mean hours spent on homework each week are the same for the four populations defined by church-going frequency.) alternative hypothesis: for high school students, there is a relationship between church attendance and hours spent on homework each week (i. e. the mean hours spent on homework each week differ for the four populations defined by church-going frequency.) analysis of variance results: to check conditions for use of the anova f-test, we need to examine histograms of the homework hours for how many of the samples?

see below

step-by-step explanation:

7.   there are 10 data points in the set.   the middle point is between 5 and 6.   the middle point in the top half is 8   and the middle point in the bottom half is 3. to find the iqr , take point 8 and subtract point 3

mid term   point 8 = 100   point 3 = 88

iqr = 100-88 = 12

final   point 8 = 93   point 3 = 78

iqr = 93 - 78 = 15

the final has the greatest iqr

6.   b - there is a high data value that causes the data set to be asymmetrical for the males: the data for males are high and asymmetrical .   there is an outlier for the males that skews the data

5.   the   iqr is a better measure of spread for the movies and basketball games.   since the basketball game has an outlier, we do not want to use standard deviation for measurement.  

3.   the exam median is much higher than the class median.   the median line is farther to the right on the exams

2.   there is no way to tell what the means are from the box and whisker plots.  

yes

step-by-step explanation:

yes