Based on the data provided below, test the following HO: H₁ = H2= Ha at significance level a= 0.01. Mixture 156 1.12 90 1.07 94 87 78 91 Mixture 3 62 1.08 1.07 99 93 Mixture 2 72 69 a. HO is not rejected at significance level a= 0.01 with F, = 5.33 b. HO is rejected at significance level a = 0.01 with F-5.33 c. HO is rejected at significance level a = 0.01 with F, =0.99 Od. H0 is not rejected at significance level a= 0.01 with F =0.99 e. H0 is not rejected at significance level a= 0.01 with F-5.33 Of. HO is rejected at significance level a=0.01 with F, 2.81 4.59 3.97 4.69 L = 13.25 7 918 794 938
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- Prior to assessment of the outcome, the researchers did a manipulation check. Members of Groups 1 and 2 rated the attractiveness (on a 1 to 9 scale, with 9 being the most attractive) of the person in the photo. They reported that for the attractive photo, M = 7.53; for the unattractive photo, M = 3.20, F (1, 108) = 184.29. Was this difference statistically significant (using = .05 )? The p value F(1,108) = 184.29 is less than 0.0001. Therefore, the difference is statistically significant because the p value is much less than .05 What was the effect size for the difference in (2a)?Below are the results for the three periods between the USA Stock and the USA Treasuary Bills. The complete sample, January 1950 to December 2017. Correlation = -0.159596558 The subsample, January 1950 to December 1969. Correlation = -0.262086255 The subsample, January 1970 to December 2017. Correlation = -0.142338644 required, interprete the meaning of the results and if the null hypothesis was that the colerration is 0 would that be true?Listed below are the lead concentrations in muμg/g measured in different traditional medicines. Use a 0.010.01 significance level to test the claim that the mean lead concentration for all such medicines is less than 1717 muμg/g. Assume that the lead concentrations in traditional medicines are normally distributed. 1010 13.513.5 16.516.5 19.519.5 2121 13.513.5 3.53.5 22.522.5 1313 3.53.5 What are the null and alternative hypotheses? A. Upper H 0H0: muμequals=1717 muμg/g Upper H 1H1: muμless than<1717 muμg/g B. Upper H 0H0: muμequals=1717 muμg/g Upper H 1H1: muμgreater than>1717 muμg/g C. Upper H 0H0: muμequals=1717 muμg/g Upper H 1H1: muμnot equals≠1717 muμg/g D. Upper H 0H0: muμgreater than>1717 muμg/g Upper H 1H1: muμless than<1717 muμg/g Determine the test statistic. (Round to two decimal places as needed.) Determine the P-value. (Round to…
- The average monthly cell phone bill was reported to be $50.07 by the U.S. Wireless Industry. Random Sampling of a large cell phone company found the following monthly cell phone charges (in dollars): 55.45 44.99 62.99 70.63 60.01 54.54 48.91 50.49 58.61 51.97 At the 0.01 level of significance, can it be concluded that the average phone bill has changed?A marketing firm wants to know if there is a difference in the best marketing strategy for new customers compared to returning customers. In order to determine the relationship between marketing strategy and customer type, the following information on number of sales generated is obtained for each group. Is there sufficient evidence at the 0.010.01 level of significance to conclude that an association exists between marketing strategy and customer type? Observed Sample of Customers Paid search Social Media Web retargeting Total New customer 167167 154154 140140 461461 Returning customer 146146 145145 164164 455455 Total 313313 299299 304304 916916 Copy Data Step 1 of 4 : Calculate the expected value for the number of sales generated by the web retargeting strategy for new customers. Round your answer to six decimal places.Considering a treadmill test given to patients being tested for high blood pressure, male patients took their pulse rates before and after running for 5 min. (a=1) Subject 1 2 3 4 5 6 7 8 9 10 Pulse before 64 100 8a 60 92 8a 68 8a 8a 68 Pulse after 68 11a 84 68 10a 92 72 88 80 92 Using a 0.05 significance level, perform the 8-step hypothesis test to test the claim that the mean difference between the pulse rates before and after the run is significantly zero. Based on the result, do the male pulse rates taken before and after running appear to be about the same or not?