A researcher conducted a test where she wanted to determine if there was a relationship between gender (male, female) and movie preference (action, drama). Which of the following tests should she use? One-way between subjects ANOVA Repeated measures ANOVA Correlation Chi-square

Suppose we wanted to see if there was a correlation between suspension and ethnicity. We have the following summary of data below. What statistical test would we use?   Suspended Note Suspended Black 17 17 White 65 878 Group of answer choices No answer text provided. Chi-squared Z-test T-test

A marketing agency wanted to determine if a new commercial changed people's opinion about a company. They recruited n=30 participants to watch the commercial. First, everyone was givien a survey to determine their attitudes toward the company. Then, everyone watched the new commercial. Finally, they were given the same survey again and asked about their attitudes toward the comapny after seeing the commercial. The agency wanted to see if attitudes were changed by the commercial. What statistical test should they use?

the LA Times has noticed a decline in its finances They decided to find out the key variables that affect subscriptions (people paying monthly for the newspaper) The subscription manager obtained the following sample information on 30 newspapers in the West. The following are the variables and their explanation. Subscriptions = Population Advert Income Fam size Y 37.95 37.66 37.55 38.78 37.67 38.23 36.9 38.28 38.95 39.27 38.3 38.84 38.14 Subscriptions Population 38.39 37.29 39.15 38.29 38.09 37.83 39.37 = 37.81 37.42 38.83 38.33 40.24 40.58 40.95 38.58 38.54 37.59 = X1 588.9 585.3 566.3 642.9 624.2 603.9 571.9 584.3 605 676.3 587.4 576.4 570.8 586.5 544 611.1 643.3 635.6 598.9 657 595.2 520 629.6 680 651.2 653 700.21 587 589.5 600 Number of subscriptions (in thousands) The metropolitan population ( in thousands) The advertising budget of the paper (in $ hundreds) The median family income in the metropolitan area (in $ thousands) Median family size (number of people in a family) X2 X3…