How will you test the equality of two pro portion of items in the same class on the basis of two independent samples, tubulaed value of Za = 2.6 and TB =4.3, drawn it from two populations? Asp
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A: sample size(n1)=250 x1=35 sample zie(n2)=254 x2=47 level of significance(α)=0.05
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- For the Kruskal-Wallis ANOVA: Is there a statistical difference between the rankings of the core temperatures of the groups exposed to either a cold, neutral, or hot environment? (smaller number= coldest core temperature ranking, largest number= hottest core temperature ranking).” Ranks that are tied, get an average value of the two ranks. The Data is attached. Thank you.The proportion P residence in a community recycles traditionally been 70%. Policymaker claims of the unfortunate less than 70% now that one of the recycling centers has been relocated. It's 137 out of a random sample of 205 residence in the community said they recycle, is there enough evidence to support the policy makers claim at the 0.05 level of significance?Please help on all the parts of the problem!!
- Independent random samples of households in the 5 U.S. regions yielded the data on last year’s energy consumption(Kilowatts). At the 5% significance level, do the data provides sufficient evidence to conclude that a difference exists in last year’s mean energy consumption by households among the 5 U.S. regions? ANOVA Test Northeast: 15, 10, 13, 14, 13 Midwest: 17, 12, 18, 13, 15, 12 Southeast: 11, 7, 9, 13 West East: 10, 13, 8, 7, 9 East coast: 12, 18, 10, 8 Alaska: 15, 14, 13, 16 a)State null and alternative hypothesis b)Test Statistics c)P-value d) ConclusionWhile an independent samples t-test compares two separate groups of people, a paired sample t-test compares the same group of people over time or across two different treatments or events or etc. True FalseResearchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the observed test statistic (i.e., tobs)? Round to 2 decimal places.
- 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.
- In two-way ANOVA, what does it mean when we say that we have balanced data?What is the critical value for a set of sample data that has 5 treatments with 5 samples for each treatment, evaluated at the 10% level of significance?Why is ANOVA more appropriate than multiple t-tests when comparing more than two groups?
