Although t tests are affected by sample size, sample size does not influence measures of effect size, such as r2 or Cohen's d. O True False
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- Does buying CDs depend on whether you own a smartphone or not? A survey asks a group of students if they buy CDs or not. It also asks if the students own a smartphone or not. The data are recorded in the contingency table below, and a chi-square Test of Independence at the 5% significance level is performed. SmartphoneNo SmartphoneColumn TotalCDs12.269.81622No CDs17.82414.2832Row Total302454 (a) The null and alternative hypotheses are: H0: The two variables are independent, so owning a smartphone does not affect buying CDs. Ha: The two variables are dependent, so owning a smartphone does affect buying CDs. (b) χ20=11.9 (c) Determine the critical value using the following portion of the χ2-table. df1234χ20.102.7064.6056.2517.779χ20.053.8415.9917.8159.488χ20.0255.0247.3789.34811.143χ20.016.6359.21011.34513.277χ20.0057.87910.59712.83814.860A researcher is trying to determine if nurses who complete a 12-week social activity program have increased levels of job satisfaction at the end of the program compared to when they started it. Which procedure should he use? O Independent samples t-test Repeated measures t-test ANOVA Matched samples t-test étv A O W MacBook ProA power analysis is a calculation used to estimate the smallest sample size needed for an experiment, given a required significance level, statistical power, and effect size. It helps to determine if a result from an experiment or survey is due to chance, or if it is genuine and significant. Think of an experiment or a survey that you have conducted or will conduct in your field of interest and use it to discuss the following questions: 1. Describe the importance of power analysis in an experiment. 2. How will you determine the appropriate significance level for a power analysis? 3. Explain, in your own words, how you will conduct a power analysis in your experiment or survey.
- Twenty-eight college faculty at Acme Looniversity who volunteered for a fitness program were divided into low-fitness and high-fitness groups based on a physical examination. The subjects then took a Personality Factor Questionnaire. Below are the data for the "ego strength" measurement based on the questionnaire. Acme Looniversity Data Group Fitness Sample size Average Standard deviation 1 Low 14 4.6 0.69 2 High 14 6.4 0.43 Assuming the data for Group 1 and 2 are independent of each other and are both normally distributed, compute a 90% confidence interval for the difference between the two means. Round your answer to 3 decimal places. What conclusion can you draw? Group of answer choices (-2.173,-1.427), Group 1 is bigger (-1.923,-1.677), Group 2 is bigger (-2.173,-1.427), Group 2 is bigger (-1.923,-1.677), no conclusion (-1.923,-1.677), Group 1 is biggerTo decide between using an independent-samples t test and a one-way ANOVA, which question should the researcher ask? a. Is the population mean known b. Is the goal to measure association or to make a prediction c. Are there more than two levels of the independent variable d. Is the research deisgn between-groups or within-groupsDr. Carlton conducts a study to determine the effectiveness of a new intervention for those suffering from eating disorders. He compares patients' weights before the intervention to the same patients' weights after the intervention. What is the appropriate statistical test? a. paired samples t test b. between-subjects, one-way ANOVA. c. independent-samples t test d. Mann–Whitney U test
- Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.The table below lists body temperatures obtained randomly selected subjects. The temperatures are categorized according to gender and whether the subject uses drug. Using a 0.05 significance level, test for an interaction between gender and usage of drug, test for an effect from gender, and test for an effect from usage of drug. What do you conclude? Use Drug Does Not Use Drug Male 98.4 97.4 96.8 98.2 98.4 97.4 97.4 98.0 Female 98.6 99.3 98.2 98.6 97.0 98.4 97.2 98.7In general, why does using a repeated-measures ANOVA increase statistical power compared to using a one-way between-groups ANOVA? Group of answer choices: a.MSbetween is lower b.MSerror is higher c.MSerror is lower d.MSbetween is higher
- give an example of a study for which the independent sample t-test is appropiateWhich of these experiments sounds the most like it would be analyzed with an Independent-Samples t-test? A. A study that gives patients a placebo on Monday and measures their pain, then has them back on Friday and gives them a real pain pill and measures their pain B. A study that compares tennis players vs. football players on their peak heart rate while playing their sports C.A study that looks at the attention span of a group of n=30 5-year-olds and then follows up with those same kids when they are 10-years-old D. A study that measures the knowledge of the transfer process for a group of Chaffey students, both before and after they attend an orientation
