QUESTION 30 A between-subjects ANOVA was found to be significant, with a SS-Between = 225.56 and SS-Within = 100.25. What is the effect size given this data? Be sure to round your answer two decimal places)"
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- Table 4.20 appeared in a national study of 15- and 16-year-old adolescents. The event of interest is ever having sexual intercourse. Analyze these data and summarize in a one-page report, including description and inference about the effects of both gender and race. Note: No need for a whole page, just need to include related information.Question 2 There is a claim that drink driving has been very common in high ways. The Highway Police randomly caught 300 drivers for breath alcohol test and found that 14% of drivers have breath alcohol over the legal limit. At 4% level of significance, use the p-value approach to test the hypothesis that the percentage of drivers who are drink driving is more than 10%.question 26 a repeated measures ANOVA using 11 participants observed a df within = 30 and ss-error= 28.05. what will be the value of ms error given this information?
- Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following question. -Show all the relevant statistical output How do I enter this data in SPSS and which test do I run? I input one column for each level but I am so confused and my output is weird looking. Do I run the One Way ANOVA in order to be able to calculate the effect size? Dog Cat Reptile Row Totals Male 20 17 11 48 Female 25 23 5 53 Column totals 45 40 16 101Question 15 - ANOVA 1 National bearings manufactures bearings at plants located in Portland Oregon, Houston Texas and Jacksonville, Florida. To measure employee knowledge of Total Quality Management (TQM), six employees were randomly selected at each plant and tested. The test scores of these employees are given in the attached data. Managers want to know if, on averge, knowledge of TQM is equal across the 3 plants. Test equality of mean scores at x=0.05.Is the life satisfaction after exercise higher than life satisfaction before exercise? State the null and alternative hypotheses for this question. What is your conclusion? Give the statistics to support your claim, including the effect size.
- Question 4:Stratify your data based on Antibiotic variables and compute the numerical summary statisticsyou did in question 2 Question 2:Compute the following numerical summary statistics for Age and Duration of Stay.i. Meanii. Medianiii. Modeiv. Variancev. Standard DeviationTable 2 on page 603 is based on paired-samples t tests, a technique that we do not cover in this course. However, based on the p-values listed in the second to last column of the table, state three measures that showed a statistically significant change over 24 months for mothers and children in the MST-BSF group. Indicate whether the change was an increase or a decrease, and whether the change was in the mother or the child.?Dr. Palmer found a small treatment effect. What can she do in improve her changes of finding a statistically significant result?
- question 6 help ) Katie and Bonnie decide to buy some Krispy Kernel microwave popcorn. They arecompletely bowled over by the high-tech graphics on the package, showing how thepopping times for a bag of this carefully produced product are normally distributedwith a mean of 3.0 minutes. (And yet, they know enough about statistics to beskeptical about untested claims about the value of a population mean.)Sampling the product themselves, they obtain the following popping times (inminutes) for their sample of 5 bags:3.9 2.8 3.4 4.1 3.3a) Determine the following values, if possible, from the information given. If notpossible, write "N/A". (5)= ________ μ = ________ σ= ________ s = ________ n = ________b) Find a 90% confidence interval for the true mean popping time for this product Is it reasonable to conclude that the mean popping time is 3.0 minutes asadvertised? Why or why not?A company is interested in determining whether there is a relationship between its employees' job satisfaction and their productivity. The company surveyed a random sample of 200 employees and asked them to rate their job satisfaction on a scale of 1 to 10, and also recorded their productivity over the last quarter. How can the company test the hypothesis that there is a significant correlation between job satisfaction and productivity? What statistical test should they use?When calculating effect size is it possible for a very small treatment effect to be a statistically treatment effect