Based on the information below, which pair is not statistically different? xbar_A = 251.6 n_A = 5 MSW = 41.25 xbar_B = 262.2 n_B 5 alpha=0.05 xbar_C = 234.8 n_C= 5 xbar_D 268.6 n D 5 O A and B O B and C O C and D A and C
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- Prof. Reed is interested in studying the determinants of fertility. She believes that women who report that they would like to have a higher number of children will actually have a higher fertility than women with low fertility ideals. The results from her analysis are based on the 2002 GSS. Calculate how much a woman's ideal fertility contributes to predict the variance of her actual number of children? Std. Mean Deviation Number of children 1.65 1.451 Ideal number of children 2.95 1.805 Pearson's r .144 Number of cases 211A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =X zy Section 5.4 - QNT/275T: Statistics X /chapter/5/section/4 ision Making home > tween two population means ypothesis test for the difference between two population means. Jump to level 1 The mean voltage and standard deviation of 12 batteries from each manufacturer were measured. The results are summarized in the following table. Sample mean Manufacturer voltage (millivolts) CHA B Check + 106 101 What is the test statistic? Ex: 0.123 Next What type of hypothesis test should be performed? Select Select Left-tailed z-test Paired t-test What is the number of degrees of freedom? Ex: 25 Two-tailed z-test Unpaired t-test Population standard deviation(millivolts) 3 Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.05 significance level? [Select v 2 5
- Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x = 101.16, y = 102.3, r= 0.810, P-value = 0.000, and y = 23.09+0.78x, where x represents the IQ score of the wife. Find the best %3D %3D %3D predicted value of y given that the wife has an IQ of 109? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. .... The best predicted value of y is . (Round to two decimal places as needed.) Critical values of the pearson correlation coefficient r NOTE: To test Ho: p = 0 against H,: p#0, reject Ho |if the absolute value of r is greater than the critical value in the table. a = 0.05 a = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 0.707 0.834 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 18 0.468 0.590 19 0.456 0.575 20 0.444 0.561 25 0.396 0.505 30 0.361 0.463 35 0.335 0.430 40….ll T-Mobile LTE 10:30 PM 1 85% Done 2 of 3 M O FDU O a O FDU FOU FOU O udent.desmos.com/activitybuilder/student/607e171508264d0cbdf6f178#screenldx=5 XM XM w w w FOU FOU se Connec. Clara Destiny sho. O Employment Center + Login Session Expiration. b Selling Associate-. A Sign in P View Portralt Pro. sson 9: Variability in Samples O Nursing Variability of Sample Estimates Estimates for population characteristics are usually given along with a margin of error. The margin of error is the maximum expected difference between the estimate of the population characteristic and the actual population characteristic. Each of the sample proportions are good estimates of the population proportion, so we should give a margin of error that contains about 95% of the sample proportions to be reasonably sure that the actual population proportion is in the range between the mean minus the margin of error to the mean plus the margin of error. What margin of error should be given along with the estimate of…Use the data corresponding to measurements of brain volume (measured in cm3 )and IQ. Based on the data, could we say that the correlation between these 2 variables is different from 0? (The question refers to the correlation on the population, ie. perform a hypothesis test with alpha=0.05) Data: IQ VOL 96 1005 89 963 87 1035 87 1027 101 1281 103 1272 103 1051 96 1079 127 1034 126 1070 101 1173 96 1079 93 1067 88 1104 94 1347 85 1439 97 1029 114 1100 113 1204 124 1160
- A study was conducted to examine the difference between the average cholesterol levels in the blood of men and females. It can be assumed that cholesterol levels follow a normal distribution in both populations and that the distribution in the populations is similar (e. Assume that cholesterol levels follow a normal distribution in both populations with similar variances). An equal number of measurements were made on men and women. The results were entered into R and the R code and output can be seen below: t.test(kol$mael-kol$kyn,var.equal = T) %3D Two Sample t-test data: kol$mael by kol$kyn t = 5.7731, df = 18, p-value alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 15.28775 32.78050 = 0.000018 sample estimates: mean in group Men mean in group women 219.2115 195.1774 1. Which statement is best based on the results of the study? Use a=0.05. a. The P-value is lower than a and therefore can be rejected HO b. The P-value is higher than a…A two-way ANOVA experiment with no interaction is conducted. Factor A has four levels (columns) and Factor B has eight levels (rows). Assume normality in the underlying populations. The results include the following sum of squares terms: SST=367.5 SSA = 207.0 SSE = 52.4 a. Construct an ANOVA table. (Round "SS" and "MS" to 2 decimal places and "F" to 3 decimal places.) ANOVA Source of Variation Rows Columns Error Total SS X Answer is complete but not entirely correct. 207.00 X 108.10 X 52.40 367.50 df 7 3 21 31 MS 29.57 X 36.03 X 2.50 F 11.850 X 14.412 X p- value 0.001 0.000Please help me with this question.
- A company that makes robotic vacuums claims that their newest model of vacuum lasts, on average, two hours when starting on a full charge. To investigate this claim, a consumer group purchases a random sample of five vacuums of this model. They charge each unit fully and then measure the amount of time each unit runs. Here are the data (in hours): 2.2, 1.85, 2.15, 1.95, and 1.90. They would like to know if the data provide convincing evidence that the true mean run time differs from two hours. The consumer group plans to test the hypotheses H0: μ = 2 versus Ha: μ ≠ 2, where μ = the true mean run time for all vacuums of this model. Are the conditions for inference met? No, the random condition is not met. No, the 10% condition is not met. No, the Normal/large sample condition is not met. Yes, all conditions for inference are met.Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 132 to 193 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.59 cm, y = 81.52 kg, r= 0.416, P-value = 0.000, and y = - 102 + 1.13x. Find the best predicted value of y (weight) given an adult male who is 147 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 147 cm tall is kg. (Round to two decimal places as needed.)A random sample of size 36 from a population with known variance, o = 9, yields a sample mean of x = 17. Find ß, for testing the hypothesis H,: u = 15 versus H1 : =16. Assume a 0.05. %3D %3D