Researchers assessed negative moods in a population of U.S. college students after they had been participating in their

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Researchers Assessed Negative Moods In A Population Of U S College Students After They Had Been Participating In Their 1 (221.1 KiB) Viewed 31 times

Researchers assessed negative moods in a population of U.S. college students after they had been participating in their courses for one calendar year using a remote instructional format due to the COVID-19 pandemic. Negative moods included fatigue, frustration, sadness, and anger; higher mean composite scores indicated higher levels of negative mood. The average negative mood of the population of U.S. college students participating in remote instruction for one year was 9.20. The UC administration wondered if UC students' negative mood differs from that of the population. A random sample of six UC students' negative mood scores appears below: 14, 12, 13, 12, 14, 15 Step 1: Formulate the null and alternative hypotheses. Step 2: If not given, calculate the estimated population standard deviation (sx). Step 3: Determine the characteristics of the random sampling distribution of the means. Step 4: Determine df. df = N-1 Step 5: Given the p-level, and type of test (one or two-tailed) determine the associated critical value(s) of t. If a p-level is not specified, assume .05. Step 6: Calculate the t-test statistic. Step 7. Make a decision and state your conclusion. Fail to reject the null hypothesis OR reject the null hypothesis. Practice 2: Single Sample t-test - Confidence Interval and Effect size Calculate a 95% confidence interval for our negative mood study. •Draw a normal curve with the sample mean in the center. • Indicate the bounds of the confidence interval, on either end and write the percentages under each segment of the curve. • Look up the t statistic for the lower and upper ends of the confidence interval in the t table. . Convert the t statistics to raw means for the lower and upper ends of the confidence interval. . Check your answer.