Group Statistics Std. Error gender N Mean Std. Deviation wt M 5004 209.9919465 10.00559438 Mean .1414439065 F 4996 210.0274454 10.10095335 .1429062262 Figure 4 wt Equal variances assumed Equal variances not assumed Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. 1 др Sig. (2-tailed) .575 .448 -.177 9998 .860 Mean Difference -.0354989704 Std. Error Difference Lower 2010670400 -.4296308410 Upper .3586329002 -177 9996.772 .860 -.0354989704 2010685658 -.4296338379 .3586358971 Figure 5

Group Statistics Std. Error gender N Mean Std. Deviation wt M 5004 209.9919465 10.00559438 Mean .1414439065 F 4996 210.0274454 10.10095335 .1429062262 Figure 4 wt Equal variances assumed Equal variances not assumed Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. 1 др Sig. (2-tailed) .575 .448 -.177 9998 .860 Mean Difference -.0354989704 Std. Error Difference Lower 2010670400 -.4296308410 Upper .3586329002 -177 9996.772 .860 -.0354989704 2010685658 -.4296338379 .3586358971 Figure 5

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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11:39 1 A myopenmath.com You are conducting a multinomial hypothesis test (a = 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table. Observed Expected Category Frequency Frequency A 13 В 11 C 12 17 E 23 Report all answers accurate to three decimal places. But retain unrounded numbers for future calculations. What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.) What are the degrees of freedom for this test? d.f.= What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is... less than (or equal to) a greater than a
Males and females were asked what they would do if they received a $100 bill in the mail that was addressed to their neighbor, but had been incorrectly delivered to them. Of the 70 males sampled, 55 said yes they would return it to their neighbor. Of the 130 females sampled, 120 said yes. The overall question is: Is this sufficient evidence to say that the two true proportions are different? Assume that the p-value turns out to be .027 (again not the correct p-value for this situation but use it to answer this question). What is your decision on this hypothesis test using a 5% level of significance? O Fail to reject the null hypothesis Reject the null hypothesis
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5. A one-way ANOVA test is conducted and finds the following results: n = 34, K = 4, x̅ = 8.32, MST = 26.723, and MSE = 14.767. What is the test statistic, F, for this ANOVA test? B. 1.81 D. 3.69 C. 3.21 A. 1.77 6. A hypothesis test is conducted with H0 : p1 - p2 = 0 vs. Ha: p1 - p2 ≠ 0 . What is the tail area of the hypothesis test given the sample data: n1= 121, p1=0.79, n2= 81, p2 = 0.67 C. 0.0614 B. 0.0536 A. 0.0268 D. 0.0307
Flammable gas-leaks can be disastrous for power plants. To prevent disasters, gas-sensors are placed at strategic locations. These sensors are periodically tested for their accuracy. At a factory, 64 of these sensors are installed. 12 sensors are checked weekly, and the complete set is replaced if at least one defective sensor is found. (a) If 12 of the sensors in the set are defective, what is the probability that the set is replaced the first day it is evaluated? (b) If 12 of the sensors in the set are defective, what is the probability that the set is not replaced until the third day of evaluation? (c) Suppose on the first day of evaluation, two of the sensors are defective, on the second day of evaluation six are defective, and on the third day of evaluation, ten are defective. What is the probability that the set is not replaced until the third day
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You wish to test the following claim (Ha) at a significance level of a = 0.002. 66.2 Ha:µ # 66.2 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of 64.3 and a standard deviation size n 28 with mean x of s 5.2. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value The p-value is... less than (or equal to) a O greater than a
.2.3 Assigned Media The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a= 0.10. P=0.0618 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? A. Reject Ho because the P-value, 0.0618, is greater than a= 0.01. B. Reject Ho because the P-value, 0.0618, is less than a =0.01. C. Fail to reject Ho because the P-value, 0.0618, is less than oa= 0.01. O D. Fail to reject Ho because the P-value, 0.0618, is greater than a= 0.01. Click to select your answer and then click Check Answer. parts Type here to search 0 耳 PrtScn Home End F1 F2 F3 F4 F5 F6 F7 F8 F9 %23
B. What is the test statistic? z=___ C. What is the P-value? P-value=___ D. What is the null hypothesis, and what do you conclude about it? H0: p≠0.09or H0: p<0.09 or H0: p=0.09 or H0: p >0.09 E. Reject the null hypothesis or Fail to reject the null hypothesis? Why? F. What is the final conclusion?