The Centers for Disease Control and Prevention (CDC) estimated the percent of individuals in each state who are classified s overweight or obese in different years. They calculated the estimates separately for three different age classes, including children (2-4 years old), adolescents (students in grades 9-12), and adults (aged 18 years and older). The boxplots display the given five-number summaries (Min, First Quartile (Q₁), Median, Third Quartile (Q3), Max) omputed based on the data for two different age classes. Match the appropriate descriptions to the data sets. 10 11 12 13 14 15 16 17 18 Adolescents who were overweight in 2013 (%) Min Q1 Median Q3 Max 11.00 13.80 14.95 15.68 17.10 6 8 10 12 14 16 18 20 Adolescents who were obese in 2013 (%) Min Q1 Median Q3 Max 6.40 11.25 12.45 13.50 18.00 Answer Bank 25% of values are less than 13.80 the distribution is skewed to the left 25% of the values are less than 11.00 25% of values are less than 11.25 25% of the values are less than 6.40 25% of the values are more than 13.50 the distribution is close to symmetrical 25% of the values are more than 17.10 the distribution is skewed to the right 25% of the values are more than 18.00 25% of the values are more than 15.68

The dataset HollywoodMovies - 2e contains information on 970 movies that came out of Hollywood between 2007 and 2013. One of the variables is the budget (in millions of dollars) to make the movie. What would be the relevant parameter and statistic for this problem (think -- is this categorical or quantitative)? O u: The mean budget of all Hollywood Movies made between 2007 and 2013. O p: The average proportion of budgets of Hollywood Movies made between 2007 and 2013. T: The mean budget of all Hollywood Movies made between 2007 and 2013. Op: The proportion of Hollywood Movies made between 2007 and 2013.

Can the measure of central tendency tell  a researcher how spread out the scores are in a distribution?

A researcher wanted to find the best viewing distance for watching a TV screen. He recruited the following number of participants and asked them to evaluate their satisfaction of the viewing distance. Then, he conducted an ANOVA to see if there is any significant mean differences. Here are the number of participants by each group: Group 1 (4 feet) - 5 people Group 2 (7 feet) - 5 people Group 3 (10 feet) - 6 people Group 4 (13 feet) - 5 people Group 5 (16 feet) - 4 people Given the numbers as presented above, what is the degrees of freedom for within groups for this analysis? a. 4 b. 20 O c. 21 d. 25