6) The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment II II 3. N = 12 10 G = 60 3 1 10 ΣΧ392 1 6. M = 3 M = 4 M = 8 T= 12 T= 16 T = 32 SS = 8 SS = 12 SS = 16 %3D
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- One critique of sentencing research is that it generally focuses on the differences between white defendants and defendants of color and rarely examines differences between minority groups. The JDCC data set can be used to test for differences between the sentences received by black and Hispanic juveniles convicted of property crimes. Black juveniles (Sample 1; N = 229) were sentenced to a mean of 31.09 months of probation (s = 15.42), and Hispanic juveniles (Sample 2; N = 118) received a mean of 40.84 months (s = 16.45). Using an alpha level of .01, test the hypothesis that there is a statistically significant difference between the two group means. Assume unequal population variances. Use all five steps.The director of an obesity clinic in a large northwestern city believes that drinking soft drinks contribute to obesity in children. To determine whether a relationship exists between these two variables, she conducts the following pilot study. Eight- 12-year-old male volunteers are randomly selected from children attending a local junior high school. Parents of the children are asked to monitor the number of soft drinks consumed by their child over a one week period. The children are weighed at the end of the week and their weights converted into body mass index (BMI) values. The BMI is a common index used to measure obesity and takes into account both height and weight. An individual is considered obese if they have a BMI value 30. The following data or collected: child. # of soft drinks consumed BMI 1 3 20 2 1 18 3…he table below summarizes baseline characteristics of patients participating in a clinical trial. a) Are there any statistically significant differences in baseline characteristics between treatments groups? Justify your answer. characteristic placebo(n=25) Experimental(n=125) p Mean 54 +/- 4.5 53+/-4.9 .7856 % female 39% 52% 0.0289 %less than HS education 24% 22% 0.0986 %completing HS 37% 36% %completing some college 39% 42% Mean(Sd SBP 136+/-13.8 134+/-12.4 0.4736 Mean Sd. total cholesterol 214+/-24.9 210+/-23.1 0.8954 %current smokers 17% 15% 0.5741 %…
- Researchers compared protein intake among three groups of postmenopausal women: (1) women eating a standard American diet (STD), (2) women eating a lactoovo- vegetarian diet (LAC), and (3) women eating a strict vegetarian diet (VEG). The mean ± 1 sd for protein intake (mg) is presented in Table 12.29. 12.4 Suppose that in the general population, 70% of vegetarians are lacto-ovo-vegetarians, whereas 30% are strict vegetarians. Perform a statistical procedure to test whether the contrast L = 0.7y2 + 0.3y3 − y1 is significantly different from 0. What does the contrast mean?12.5 Using the data in Table 12.29, perform a multiplecomparisons procedure to identify which specific underlying means are different.Researchers compared protein intake among three groups of postmenopausal women: (1) women eating a standard American diet (STD), (2) women eating a lactoovo-vegetarian diet (LAC), and (3) women eating a strict vegetarian diet (VEG). The mean ± 1 sd for protein intake (mg) is presented in Table 12.29. *12.4 Suppose that in the general population, 70% of vegetarians are lacto-ovo-vegetarians, whereas 30% are strict vegetarians. Perform a statistical procedure to test whether the contrast L y = + 07 03 2 3y y − 1 . . is significantly different from 0. What does the contrast mean? 12.5 Using the data in Table 12.29, perform a multiple comparisons procedure to identify which specific underlying means are different.Following is the rating of marketing aggressivity (X) and sales performance (Y) of 8 sales staffs in Glovis Co in the past year: Table Attached Question: What is the hypothesis of the study?
- The following data are from a research study comparing two treatment conditions. Do the data indicate a significant difference between treatments? Use a two-tailed test with α = .05. First, assume the data are from an independent-measures study using two separatesamples - and perform a complete HT, and write an APA summary, and find the CI for the difference between the means. Second, assume the data are from a repeated-measures study using the same sample ofn = 5 participants in both treatments - and perform a complete HT, and write an APA summary, and find the CI for the difference between the means. Explain why the 2-point mean difference is reliable for one test but not for the other. Control102I157Treatment11521893) A firm in Lebanon has developed a chemical solution that can be added to car gasolinewhich they believe will increase the miles per gallon that cars will get. The owners areinterested in estimating the difference between mean mpg for cars using the chemicalsolution versus those that are not using the solution. The following data represent the mpgfor independent random samples of cars from each population.with Solution without Solution______________________________n1 = 36 n2 = 42 x1 = 25.45 x2 = 24.1 _______________________________Assume that the populations are normally distributed and the population standarddeviations are known to be σ1 = 3.95 (with solution) and σ2 = 3.09 (without solution).Given this data, can the owners believe that there is a difference between mean mpg forcars using the chemical solution versus those that are not using the solution? Test using analpha level equal to 0.05.4) Given the following null and alternative hypothesis:H0: σ 2 ≤ 52HA : σ 2 > 52and the…The following data were obtained from an independent-measures study comparing three treatment conditions. Calculate the sample variance for each of the three samples. Use an ANOVA with α=.05 to determine whether there are any significant differences among the three treatment means.
- Consider a scenario where two vaccines have been developed and their effectiveness was tested by comparing the mean outcome for a vaccinated group to the mean for a control (placebo) group. Both of the vaccine studies set the significance (α) level for the test at .05, two-tailed, and both found statistically significant differences (i.e., the p-value was very small and H0 was rejected). The results were as follows: Study Effect size (d) t-statistic Vaccine 1 0.7 4.8 Vaccine 2 0.2 4.8 (a) Based on the above information, can we know whether one study involved a larger sample size than the other? If so, which one? Explain. (b) Based on the above information, can we conclude that one vaccine is preferable to (i.e., more effective than) the other? If so, which one? Explain.. The term sample usually refers to a sample that ___ - Consists of people with chemical dependency problems - Uses the same group of individuals with a before/after measurement - Requires a dependent variable for hypothesis testing - Is randomly selected from two dependent populationsA researcher conducted a repeated measures study comparing three treatment conditions. Refer to attached images and tale to answer a to d. Mean Std. Deviation N Treatment I 1.00 1.414 5 Treatment II 5.00 2.345 5 Treatment III 6.00 1.581 5 In APA format, report the F-ratio related to the treatment effect: Is this treatment effect significant? What is the partial η2 value for the treatment effect? Is this a weak, moderate, or strong effect?