Coaster Condition (1 = Just rode, 2 = Waiting to ride) * Relationship (1 = Currently Single, 2 = In a relationship) Crosstabulation Coaster Condition (1= Just Just rode rode, 2 = Waiting to ride) Total Waiting to ride Count % within Coaster Condition (1 = Just rode, 2 = Waiting to ride) Count % within Coaster Condition (1 = Just rode, 2 = Waiting to ride) Count % within Coaster Condition (1 = Just rode, 2 = Waiting to ride) Relationship (1 = Currently Single, 2 = In a relationship) Currently In a relationship Single 11 36.7% 9 30.0% 20 33.3% 19 63.3% 21 70.0% 40 66.7% Total 30 100.0% 30 100.0% 60 100.0%

In a survey of 3367 adults aged 57 through 85​ years, it was found that 84.2​% of them used at least one prescription medication.    How many of the 3367 subjects used at least one prescription medication?

A researcher is in how watching a really televison show featuring fashion models influences the eating behavior. The group og 30-13 years old girls selected participate in research study the group of 30-13 years old girl is an example of

1250 were surveyed, 911 drank alcohol or used illegal drugs, 425 drank alcohol only. How many drank alcohol and used illegal drugs, but did not smoke cigarettes?

Suppose you are conducting a study about how the average US worker spends time over the course of a workday. You are interested in how much time workers spend per day on personal calls, emails, and social networking websites, as well as how much time they spend socializing with coworkers versus actually working. The most recent census provides data for the entire population of US workers on variables such as travel time to work, time spent at work, and break time at work. The census, however, does not include data on the variables you are interested in, so you obtain a random sample of 83 full-time workers in the United States and ask about personal calls, emails, and so forth. You are curious about how your sample compares with the census, so you also ask the workers the same questions about work that are asked in the census. Suppose the mean time spent at work per day from the most recent census is 8.32 hours, with a standard deviation of 0.91 hours. Your sample of 83 US workers…

In 1993 approximately 62.1 million Americans suffered injuries, as reported by the National Center for Health Statistics in Vital and Health Statistics. More males (33.4 million) were injured than females (28.7 million). Those statistics do not tell us whether males and females tend to be injured in similar circumstances. One set of categories commonly used for accident circumstances. One set of categories commonly used for accident circumstance is "while at work," "home", "motor vehicle", and "other". A random sample of accident reports gave the data in contingency table below. Male Female While at work 19 24 27 Home 14 Motor Vehicle 26 Other At the 5% significance level, do the data provide sufficient evidence to conclude that an association exists between accident circumstances and sex? Type in Canvas the grand total. 35

Texting while driving has become a national focus now that cell phones are ubiquitous and texting while driving results in ever-increasing injuries and deaths. According to 2013 study, 44.5% of US Teenage drivers text while driving. You want to see how Gainesville teenage drivers compare to national teens. You randomly select 300 local high school students (ages 16-19) and ask if they have texted while driving within the past 30 days. The data is recorded in the table. Yes No 142 158 Find a 95% confidence interval for the percentage of teenage drivers who text while driving. Then explain what the confidence interval means in this context.

An appropriate measure of association for wondering whether gender (male =1, female =2) has an effect on happiness( not too happy =1, pretty happy =2, and very happy =3) would be?

Assume that 135 surveys are completed. Of those surveyed, 61 responded positively to effectiveness, 65 responded positively to side effects, and 63 responded positively to cost. Also, 26 responded positively to both effectiveness and side effects, 29 to effectiveness and cost, 26 to side effects and cost, and 16 to none of the items. How many responded positively to all three?