What is the F value for the critical region for a two-factor analysis of variance hypothesis test with two levels in each factor and n = 7 individuals in each level using an alpha level of 0.05?
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- The partially completed analysis of variance table given below is taken from the article, "Power and Status, Exchange, Attribution, and Expectation States (Small Group Research)." The experimenters investigated the effects of power and knowledge on one's emotional reaction in a study involving 52 students selected from a large private university. Each of the factors was run at two levels, with 13 subjects at each of the four different factor combinations. Source of Variation Power Knowledge Interaction Error Total ANOVA SS 0.2800 1.2600 3.1400 4.7600 df 1 1 1 48 51 MS F Complete the ANOVA table. Step 2 of 4: Calculate the F-statistic for the hypothesis test of interaction between the variables Power and Knowledge. Round your answer to four decimal places.A clinical psychologist wants to explore a between-subjects experiment comparing treatments for PTSD emotionally focused therapy (EFT), client centered therapy (CCT), cognitive processing therapy (CPT), and cognitive behavioral therapy (CBT) against a control condition. Subjects were randomly assigned to the experimental condition. After 8 weeks, the subject's scores were measured using Treatment Outcome Post-traumatic Stress Disorder Scale (TOP-8). Identify which statistical analysis is appropriate for this data. Identify the IV and DV and their respective levels if applicable. Is this a repeated measures design?Using a sample of 500 adults with the following variables: genhelf - variable recording general self- reported health coded 1 = very good, 2 = good, 3 = fair, 4 = poor sbp - variable recording systolic blood pressure - age - age of the respondent in years sex coded 1 = male and 2 = female hi_sbp - indicator of high blood pressure coded 1 if the respondent's sbp is 130 or higher and 0 otherwise What type of chart is MOST appropriate for the variable sbp? a/ pie chart b/ bar chart c/ histogram
- In 1991, a person was working as an engineer at a paper company when they were laid off in round 2 of several rounds of layoffs by the company. This person sued the company for age discrimination. The engineer claimed that the laid off workers were older than others. The age of randomly selected 10 workers who were laid off and not lay off in round 2 are given below. Test the engineer's claim at 1% level of significance. Note that the data for two samples are in different column. Click this button to reveal the data No 25 33 35 38 48 55 56 Yes Uknown 55 55 64 Download CSV file Download the .csv file or copy/paste the data into Excel. After downloading .csv file, you may want to save it as a Excel Workbook. a. What is the response variable that is being compared in this study? Age b. How many samples of data are being compared in this study? 2 c. Are the samples random and independent? Yes No d. What test is used for this problem? Kruskal-Wallis TestA random sample of n1 = 299 voters registered in the state of California showed that 140 voted in the last general election. A random sample of n2 = 220registered voters in the state of Colorado showed that 130 voted in the most recent general election. Do these data indicate that the population proportion of voter turnout in Colorado is higher than that in California? Use a 10% level of significance. What is the level of significance? What is the value of the sample test statistic? (Test the difference p1 − p2. Do not use rounded values. Round your final answer to two decimal places.) Find (or estimate) the P-value. (Round your answer to four decimal places.)In a test of weight loss programs, 111 subjects were divided such that 37 subjects followed each of 3 diets. Each was weighed a year after starting the diet and the results are in the ANOVA table below. Use a 0.05 significance level to test the claim that the mean weight loss is the same for the different diets. Source of Variation Between Groups Within Groups Total P-value 25.38918 0.8127 0.446353 F crit 3.080387 df MS F 50.778 3373.977 3424.755 2 108 31.24053 110 Should the null hypothesis that all the diets have the same mean weight loss be rejected? O A. Yes, because the P-value is greater than the significance level. O B. No, because the P-value is greater than the significance level. OC. No, because the P-value is less than the significance level. O D. Yes, because the P-value is less than the significance level.
- A study confirming 3 types of fertilizers on the amount of mobile in yellow corn. The experimental arch was divided into 15 pieces. Then these pieces were divided into three grill groups. The following group was given a kind of tide that distorted the dress of the amount of the crop by piece, assuming that the distribution of the crown For a normal period and the variance is equal, it was said decoding strong fonts between these types of fertilizers excite the amount of mobile? If you know that 0 0.053A researcher notes that there seems to be a difference in the prevalence of high blood pressure among college-educated individuals who consume low amounts of processed foods and the prevalence of individuals who only have a high school education and consume high amounts of processed foods. Use the appropriate hypothesis to test for the independence of the two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then, interpret your response. Diet Low in Processed Foods Normal BP High BP Total College Education 124 55 179 High School Education 69 152 221 Total 193 207 400 Diet High in Processed Foods Normal BP High BP Total College Education 64 85 149 High School Education 98 153 251 Total 162 238 400 The chi square value of 37.724 is higher than the chi square value of 3.84; therefore, we can accept H0 at…
- In a comparison between the mean waiting time of the patients in the hospitals of Giza and Alexandria governments the minister of Health randomly selected 60 hospitals from Giza government and their mean waiting time was 30 minutes and the previous reports showed that the variance was 10 minutes. Also a sample consist of 50 hospitals from Alexandria governments was selected and their mean waiting time of this sample was 15 minutes and from previous reports the variance was 5 minutes. 1-Construct the 95% C.I for the difference between the average waiting time in Giza & Alex2- Without any computations, discuss fully and precisely what will happen to the results you obtained in part (1) if the confidence level changed to be 99% instead of 95%. Give the reason for your answercan someone help with this problem please? Thank you very much!English Air continually monitors the proportion of overweight items checked by passengers on its flights in order to evaluate the appropriateness of their overweight fees. Recently, a random sample of 288 items checked on English Air flights to North America contained 51 overweight items, and an independent, random sample of 258 items checked on English Air flights within Europe contained 27 overweight items. Based on these samples, can we conclude, at the 0.05 level of significance, that there is a difference between the proportion p, of all items on English Air flights to North America that are overweight and the proportion p, of all items on English Air flights within Europe that are overweight? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis…