is larger than the mean GPA of day students a up Ho:PN < PD Ho:PN = PD Ho:N up H1:PN > PD H1:PN + PD H1:µN
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- The article "Behavioural Effects of Mobile Telephone Use During Simulated Driving"t reported that for a sample of 20 experimental subjects, the sample correlation coefficient for x = age and y = time since the subject had acquired a driving license (yr) vas 0.97. Why do you think the value of r is so close to 1? (The article's authors give an explanation.) O The younger a subject is, the more time since they acquired their license. O The older a subject is, the less time since they acquired their license. O The older a subject is, the more time since they acquired their license. O This is a mistake. The value should be close to -1. O This is a mistake. The value should be close to 0.Two researchers conduct separate studies to test Ho: p=0.50 against Ha: p0.50, each with n = 400. Researcher A gets 226 observations in the category of interest, and p= 6=226/400=0.565. Researcher B gets 225 in the category of interest, and p = 225/400=0.5625. Complete parts (a) through (d) below. a. Find the z-scores and P-values for both researchers. Researcher A Z = Researcher B Z = P-value = P-value = (Round the z-scores to two decimal places as needed. Round the P-values to three decimal places as needed.) The result in case A is The result in case B is b. Using α = 0.01, indicate in each case whether the result is "statistically significant." Interpret. What does the statistical significance of the results above imply? OA. A difference in conclusions between two hypothesis tests does not necessarily mean that the test with the result that is deemed "statistically significant" is actually much more significant than the test with the result that is deemed "not statistically…Identify the IV and the scale of measurement; Identify the DV and the scale of measurement and for the IV – identify the # of levels; Identify null and alternative hypotheses, are they directional or non-directional? A new diet pill is expected to increase the percentage of weight lost. Four groups of women are selected. Women in Group 1 (n = 10) are given 5 mg of the drug, those in Group 2 (n = 10) are given 10 mg of the drug, Group 3 (n = 10) gets 15 mg, and women in Group 4 (n = 10) are given a placebo (control). The women are asked to record the percentage of weight lost after taking the pill daily for 6 months.
- The difference in the observed neurological disease rate, xbar, for a sample of veterans who served in Iraq is not “statistically significantly different” (alpha = .05), from the overall population disease rate for all U.S. veterans, mu0. This means: a. xbar = mu0b. The disease rates xbar and mu0 are not equal, but the size of the difference is not practically important, not big enough to matter. c. H0: mu for Iraq vets = mu0 was not rejected d. None of the aboveAn investigator is interested if there is a difference in the time (in seconds) to sprint a given distance among non-smokers, past smokers and current smokers. He obtained the following data: 1. State your hypotheses. 2. What is the appropriate statistical test to determine if there is a difference in the sprint times among different smoking groups? 3. The investigator uses α = 0.01 as the level of significance (df = 2, 350). Give the critical value and region of rejection. 4. Should the null hypothesis be rejected? 5. State your conclusion. 6. Given your conclusion, what is the next procedure that should be done? 7. If the investigator classified the smoking groups according to their gender and obtained the mean sprint times per gender for each group, what type of statistical test should be used now?1. Analyze the data as a two way factorial design. Johnson and Leone (Statistics and Experimental Design in Engineering and the Physical Sciences, Wiley, 977) describe an experiment to investigate warping of copper plates. The two factors studied were the temperature and the copper content of the plates. The response variable was a measure of the amount of warping. The data were as follows: Temperature (°C) 50 75 100 125 40 17, 20 12,9 16, 12 21, 17 Copper Content (%) 60 80 16, 21 18, 13 18, 21 23, 2! 24, 22 17, 12 25, 23 23, 22 100 28, 27 27, 31 30, 23 29, 31