The data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 Find the following: F critical value:
Q: The data below are from an independent-measures experiment comparing three different treatment…
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The data below are from an independent-measures experiment comparing three different treatment conditions.
| Treatment 1 | Treatment 2 | Treatment 3 |
| 0 | 1 | 4 |
| 0 | 4 | 3 |
| 0 | 1 | 6 |
| 2 | 0 | 3 |
Find the following:
F critical value:
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- HGE ACTIVITY 7.1.3: Hypothesis test for a population proportion. Jump to level 1 A software company is interested in improving customer satisfaction rate from the 76% currently claimed. The company sponsored a survey of 230 customers and found that 183 customers were satisfied. What is the test statistic z? Ex: 2.22 Check Next Feedback? CHALLENGE ACTIVITYThe following data are from a repeated-measures study comparing two treatment conditions. Complete the table Treatment Person I II Totals Differences (II – I) A 11 13 P = B 8 7 P = C 10 13 P = D 8 8 P = E 7 13 P = F 10 12 P = M = M = N = MDD = T = T = G = ∑D = SS = SS = ∑X² = SSDD =BONUS: Explain (with examples if possible) the relationship between the p-value, alpha, your obtained statistic and your critical value.
- In ongoing economic analyses, the federal government compares per capita incomes not only among different states but also for the same state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have gotten information about the 1999 per capita income for a state (denoted by y) from its 1980 per capita income (denoted by x)? The following bivariate data give the per capita income (in thousands of dollars) for a sample of sixteen states in the years 1980 and 1999 (source: U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000). The data are plotted in the scatter plot in Figure 1. Also given is the product of the 1980 per capita income and the 1999 per capita income for each of the sixteen states. (These products, written in the column labelled "xy", may aid in calculations.) Florida Nevada West Virginia Hawaii Arkansas Utah Kansas Montana North Dakota Nebraska…Two-Fa 23. The following data are from an experiment comparing three different treatment conditions: A 1 N = 15 2 5 ΣΧΧ-354 1 6. 9. 8 8 T = 10 T = 20 T = 30 SS = 14 SS = 30 SS = 30 %3D a. If the experiment uses an independent-measures design, can the researcher conclude that the treatments are significantly different? Test at the .05 level of significance. b. If the experiment is done with a repeated-measures design, should the researcher conclude that the treatments are significantly different? Set alpha at .05 again. c. Explain why the analyses in parts a and b lead to different conclusions. 24. The following data are from a repeated-measures study comparing two treatment conditions.Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
- The data below are from a sensory deprivation study looking at hearing threshold before and after one hour in a sensory deprivation chamber. Seven subjects had their hearing checked both before and after they were in a dark, silent chamber. Hearing threshold is the minimum sound level you can detect. Test the hypothesis that hearing should be more sensitive (thus lower numbers) after sensory deprivation compared with before (use alpha = .05). BEFORE: 11, 34, 18, 33, 35, 22, 35 AFTER: 13, 31, 18, 29, 32, 20, 28 What is the design of this study? What is the independent variable? What is the dependent variable? n = people Is the hypothesis one-tailed or two-tailed? State the Hypotheses in symbols and words: in words: Hị: in words: Create an Excel data file organized by rows. Each row is a participant. Variables – Before, After Open this dataset in JASP. To test the experimenters' hypothesis, perform a related samples t-test by selecting T-Tests > Classical > Paired Samples t-test (Student…A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAs. The results of the survey are shown below. Lovers 0 3 1 2 5 1 8 GPA 3.3 2.9 3.4 3.3 2.5 2.8 0.7 1. The p-value is: _____ (Round to four decimal places) 2. Use a level of significance of α=0.05 to state the conclusion of the hypothesis test in the context of the study (pick one). a. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. b. There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. c. There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. d. There is statistically insignificant…The following data are from an independent-measures experiment comparing two treatment conditions: Treatment 1 Treatment 2 6 19 13 9 8 18 4 10 13 12 4 14 11 19 5 11 Which variables are described in this scenario and what are their scales of measurement? Which test should you use?
- Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x & y. The second compares the variables w & y O O 00 00 + O Q Which explanatory variable has a stronger relationship with the response variable y? O The first variable (x) has a stronger relationship with the response variable y. O The second variable (w) has a stronger relationship with the response variable y.ту Bookmarks Window Help Blackboard Learn Remaining Time: 01 minute, 02 seconds. * Question Completion Status: blackboard.sc.edu Content P QUESTION 13 PROBLEM 1 Raw data in the table below come from an independent-measures experiment comparing three different treatment conditions. Treatment 1 0 1 0 3 X=1 Treatment 2 1 412 X=2 Treatment 3 3345 X=3.75 B https To evaluate the effect of the independent variable, researchers conducted the independent-measures one-way ANOVA. They computed the sum of squares between groups to be 15.5 and the sum of squares within groups 14.75. In the study, the percentage of total variability explained by the independent variable is approximately: 49 00 51 95 QUESTION 14 Click Save and Submit to save and submit. Click Save All Answers to save all answers. 7,427 213 280 2 JUN 14 5 tv i A Save All AnThe following data are from an experiment comparing two treatment conditions. Do these data indicate a significant difference between the treatment at the levels of .05 level of significance. Treatment 1 Treatment 2 13 9 9 5 7 5 11 9
