Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same mean. Identify the p-value.

An engineer designed a valve that will regulate water pressure on an automobile engine. The engineer designed the valve such that it would produce a mean pressure of 5.5 pounds/square inch. It is believed that the valve performs above the specifications. The valve was tested on 24 engines and the mean pressure was 5.7 pounds/square inch with a variance of 0.49. A level of significance of 0.01 will be used. Assume the population distribution is approximately normal. Make the decision to reject or fail to reject the null hypothesis.

Which of the following factors have each of the advantages listed when using analysis of variance? Multiple answers can be chosen.   1. Makes ANOVA more robust to departures from the assumption of normality. 2. Makes ANOVA more robust to departures from the assumption of equal variance. 3. Increases the power of the test.   Options: Large sample size. Balanced design.

Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same mean. Identify the value of the test statistic. Source DF MS F Factor 3 13.500 4.500 5.17 0.011 Error 16 13.925 0.870 Total 19 27.425 Seleccione una: O A. 5.17 О В. 0.011 O C. 4.500 O D. 13.500

please assist I am lost

describe the difference between a one-sample t-test, a two-sample (independent-samples) t-test, a repeated measures (related-samples) t-test, and the analysis of variance (ANOVA).

A researcher wants to measure average cardiovascular health of university students and compare those scores to the average scores in the general population. Assuming that population variance is known, what statistical test is most appropriate for this study?        independent-samples t-test     single-sample t-test     z-test for sample mean     related-samples t-test

Hi there, I am having a difficult time synthesizing this information I obtained from excel. I compiled the data utilizing a two-sample t-Test assuming equal variances.  1. Who is most likely to have prevalent coronary heart disease? Test if there are significant differences in the following risk factors between persons with and without prevalent coronary heart disease (CHD). Summarize the statistical results in the table below and then compare risk factors in persons with and without prevalent CHD.    Patient Characteristic* History of CHD (n = 194) No History of CHD (n = 4240) p-value* Age, years 57.48 (7.42) 49.58 (8.57) < 0.001 Systolic blood pressure, mmHg 145.00 (27.03) 132.35 (22.03) < 0.001 Diastolic blood pressure, mmHg 87.14 (14.33) 82.90 (11.91) < 0.001 Total serum cholesterol, mg/dL 243.20 (45.61) 236.70 (44.59) 0.049 Body mass index 26.83 (4.45) 25.80 (4.08) < 0.001 * Mean (Standard deviation).…