10.Name that Scenario Matching! Each scenario on the left has exactly one match on the right. i.e. all 9 answers will be used exactly once.

A manufacturer of bagged concrete claims that their product contains a population mean weight of 50.4 lb of concrete. We would like to test this claim by selecting a random sample of 43 bags.We want to know if there is a difference in the proportion of Disney+ subscribers who are satisfied with their experience versus the proportion of Paramount+ users who are satisfied with their experience paired mean Are the variables age and salary related for the population of two independent mean employees at a large tech firm? one proportion Intraocular inflammation is a serious condition and is measured with a quantitative measure of % inflammation. We would like to ANOVA estimate the population mean difference in inflammation percentage when testing a medication intended to reduce Chi Square Goodness of Fit intraocular inflammation. 35 patients are randomly selected and each is measured for inflammation before and after taking the one mean medication for 6 weeks. Each patient's difference in inflammation % Chi Square test of independence is recorded. two proportion There are 6 types of employees at Disney World in Orlando Florida (Cast Members, Retail, Ride Attendants, Food Service, Engineering, linear regression Maintenance), A random sample of 400 employees were given a survey. One question asked: on a continuous scale of 1-10 (decimals V were allowed), how satisfied are you with your job? We want to know if the average satisfaction score for each type of employee is the same for the population of Disney World employees. We want to know if the majority of employees at a large telecommunications company would answer yes to the question "do V you feel proud to be a team member at this company?" We would like to know if each class year (Freshman, Sophmore, Junior, Senior) are equally likely to eat at a particular dining hall on a V large college campus. For all of the employees at a large university, we would like to know if the variables "employment type" (Faculty, Staff) and "primary housing" (house, condo, apartment, townhouse) are independent or V associated. Every full-time employee at a large web development company is either classified as "in office" or "remote". For those two populations, we would like to know if there is a difference in the population mean V salary. We take a random sample of 45 in office employees and a random sample of 50 remote employees and compare sample means