2. An experiment is conducted in which four treatments are to becompared in five blocks. The following data are generated:BlockTreatments12345112.810.611.710.711.0211.714.211.89.913.8311.514.713.610.715.9412.616.515.49.617.1Test the hypothesis at the 0.05 level of significance that there is nodifference between treatment means. This time, instead of using afixed-effects model, assume a random-effects model.

Randomized block design is also known as randomized complete block design. Such treatments in each…

Answered: 2. An experiment is conducted in which…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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4. A community college wants to analyze the age and GPA of its students. Here is the data: Age 18 40 25 38 44 19 51 28 31 24 GPA 2.9 3.3 2.0 3.9 3.7 2.7 3.9 3.5 1.9 2.9 3.4 Can we say that there is a significant relationship between these variables? (Use a = %3D .05) Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision: Sentence: 21
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
Suppose we are interested in the relationship between individuals’ place of residence (rural versus urban) and their political affiliation (Republican versus Democrat). A random sample of 100 individuals yields the following crosstabulation: Political Affiliation Place of Residence Republican Democrat Rural 21 29 Urban 14 36 a) In words, what is the null hypothesis to be tested? b) Is the relationship between place of residence and political affiliation statistically significant at the .05 level? (Be sure to show the statistics that lead to your decision.) c) Compute and interpret an appropriate measure of association for the relationship between these two variables.
Consider the following sample information for three treatment groups. Treatment 1 Treatment 2 Treatment 3 8 6 4 7 9. 4 4 10 7 3 (a) Using the 0.01 significance level, test the null hypothesis that the three treatment means are equal. (b) Calculate and interpret the p-value for your result in part (a).
1. Write a complete paragraph in APA format describing the research question and your results. Question: A social psychologist records the number of outbursts among students at two schools. Assuming the same number of students were observed at each school, what is the sample size at each school, the decision to retain or reject the null hypothesis) and the effect size for this study based on the following statement? The number of outbursts among students at the small school (M=3) was significantly less than the number recorded at the large school (M = 5) f(38) =4.19, p < .05(d = 0.25 ). Results: sample size = 20 for each school For a two tailed test and df = 38, at 0.05 significance level, t = 2.023 (from t distribution table) Here, the critical value is less than t obtained (t2.023 < 4.19) Hence, we reject the null hypothesis at a 5% significance level Given that d = 0.25 => effect size is medium (since 0.2<d<0.8 for medium) Therefore, the study showed a medium…
If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer? A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance. C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.
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.
Suppose we wanted to compare the average BMI of a sample of Charleston County residents to the average BMI of US adults (u-26.5). Use the data in the table below to conduct the appropriate hypothesis test to see if the average BMI of our sample of Charleston County residents is significantly different than the US adult average. CHS Sample BMI 25.3 27.5 24.2 27.5 28.6 28.6 24.2 22 23.1 29.7 20.9 25.3 26.4 22 29.7 28.6 26.4 24.2 20.9 25.3 What is the value for the test statistic? (round to two decimal places)
Here is the Statistics problem. Read this passage. What is the explanatory variable in this passage?
Consider the following sample information for three treatment groups. Treatment 1 Treatment 2 Treatment 3 $8 $3 $3 6 4 10 4 5 3 4 Using the 0.05 significance level, test the null hypothesis that the three treatment means are equal.
6.23 A random sample of eight pairs of twins was randomly assigned to treatment A or treatment B. The data are given in the following table. Twins 1 2 3 4 5 6 7 8 Treatment A 48.3 44.6 49.7 40.5 54.3 55.6 45.8 35.4 Treatment B 43.5 43.8 53.7 43.9 54.4 54.7 45.2 34.4 a. Is there significant evidence that the two treatments differ using an a 5 .05 paired t test. b. Is there significant evidence that the two treatments differ using an a 5 .05 sign test. c. Do your conclusions in parts (a) and (b) agree? d. How do your inferences about the two treatments based on the paired t test and based on the sign test differ?
13.38 An experiment is conducted in which 4 treat- ments are to be compared in 5 blocks. The data are given below. Block 3 11.7 10.7 11.0 Treatment 2 4 5 12.8 10.6 11.7 14.2 11.8 9.9 13.8 3 4 11.5 14.7 13.6 10.7 15.9 12.6 16.5 15.4 9.6 17.1 (a) Assuming a random effects model, test the hypoth- esis, at the 0.05 level of significance, that there is no difference between treatment means. (b) Compute estimates of the treatment and block vari- ance components.

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