A researcher believes that students with more than 700 connections on social media are more likely to experience bullying than those with fewer connections. To test this, a sample of n = 36 students complete a questionnaire about all forms of bullying. On average students report having been bullied in the last month (μ = 7 times, o = 3). The sample obtains a mean of M= 7.9. Test at the α = .05 level. a.) Step 1: State the Hypotheses Ho: H₂: b.) Step 2: Determine the critical region and draw it on the distribution above: Zcritical- c.) Step 3: Calculate the test statistics (here: a z-test). d.) Step 4: Make a decision. Zobserved = Circle one: Reject Null (Ho) or e.) State your conclusions about the research scenario in sentence form: d= Fail to Reject Null (Ho) f.) What is the estimated effect size (Cohen's d) in this study? Do you characterize it as being small, medium or large?

Two separate samples receive two different treatments. The first treatment group (N = 9) has a mean of 50 with SS = 710. The second treatment group (N = 6) has a mean of 60 with SS = 460. Is the second treatment group significantly larger than the first? What is the effect size?

A graduate student is interested in how viewing different types of scenes affects working memory. For his study, he selects a random sample of 36 adults. The subjects complete a series of working memory tests before and after walking in an urban setting. Before the walk, the mean score on the test of working memory was 9.1. After the walk, the mean score was 1.4 higher. The graduate student has no presupposed assumptions about how viewing different types of scenes affects working memory, so he formulates the null and alternative hypotheses as: H00 : μDD = 0 H11 : μDD ≠ 0 Assume that the data satisfy all of the required assumptions for a repeated-measures t test. The graduate student calculates the following statistics for his hypothesis test: Mean difference (MDD) 1.4 Estimated population standard deviation of the differences (s) 1.6 Estimated standard error of the mean differences (sMDMD) 0.2667 Degrees of freedom (df) 35 The t statistic 5.25 The critical values of t…

Below indicate whether the appropriate test would be an independent t-test, dependent t-test, One-way ANOVA, or z-test. A researcher wants to know if people find baby animals cuter than adult animals. All of the participants in a study are shown 10 pictures of baby animals and 10 pictures of adult animals. They are asked to rate (on a 1 to 10 scale) how cute they think each animal is.