15. Probability of rejecting a true null hypothesis is 5% or 0.05.
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16. x̅ = 84, s = 5, n = 16
98% Confidence interval :
At α = 0.02 and df = n-1 = 15, two tailed critical value, t-crit = T.INV.2T(0.02, 15) = 2.602
Lower Bound = x̅ - t-crit*s/√n = 84 - 2.602 * 5/√16 = 80.7469
Upper Bound = x̅ + t-crit*s/√n = 84 + 2.602 * 5/√16 = 87.2531
80.7469 < µ < 87.2531
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17. Null and Alternative hypothesis:
Ho : µ = 3000
Ha : µ > 3000
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18. x̅ = 94, σ = 21, n = 49
a) Test statistic:
z = (x̅- µ)/(σ/√n) = (94 - 100)/(21/√49) = -2
b) The standard Normal Table
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19. Critical value at 0.05 for right tailed test :
Right tailed critical value, z crit = ABS(NORM.S.INV(0.05) = + 1.645
When testing at 95% confidence, what is the probability of rejecting a true na hypothesis? 16....
The higher the alpha level, a. the lower the probability of rejecting the null hypothesis. b. the greater the probability of rejecting the null hypothesis. c. the larger the sample size has to be to reject the null hypothesis. d. the more desirable the two-tailed test. When solving the formula for finding Z(obtained) with sample proportions in the two-sample case, we must first estimate a. the population proportion. b. the critical region. c. the ratio of the sample proportions. d....
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of testing is called the hypothesis 2. (Circle the correct response) In hypothesis testing, critical values used to make a rejection decision regarding the null hypothesis are determined by the nature of the hypothesis test (two-tail vs. one-tail) and the d. significance level a. sample size b. population parameter c. target value 3. (Circle the correct response) In the process of hypothesis testing, the test...
Practice for Hypothesis Testing (with z) 2. Batteries are supposed to last for 13 hours with a standard deviation of 0.31 hours. The quality control engineer is testing a new operating system and finds that a sample of 43 devices using the new operating system exhausts the batteries in a mean of 12.89 hours. Test to determine if the average life of the batteries when using the new operating system is significantly less than the stated life of 13 hours...
a is .05 and N-25, the probability of rejecting the null hypothesis if the mull hypothesis is true is: a. .os b..95 c. 05/25 - 01 d..95/25 = .19 e. insufficient information to answer as the popu 4. The sampling distribution of the mean always has the same distribution of the raw scores. a. mean b. standard deviation c. skew d. a and b e. all of the above S. If the sample size on which a standard deviation is...
Which of the following is a TRUE statement about hypothesis testing? The probability of a Type I error plus the probability of a Type II error always equals one. The power of a test concerns its ability to detect a null hypothesis. If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 10% level. Whether to use a one-sided or a two-sided test is typically decided...
8. Hypothesis Testing: One or Two Means, Various Samples (a) A sample of 40 light bulbs from Company #1 have a mean lifetime of 650 hours with a standard deviation of 25 hours. They are advertized to have a 750 hour life. Is the mean lifetime of this sample inconsistent with the advertized life? Test the alt hypo (Ha: u < 750) against the null hypo (Ho: u = 750) at the 0.05 significance level. (6) A sample of 40...
1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it. True False 2. The first step in testing a hypothesis is to establish a true null hypothesis and a false alternative hypothesis. True False 6. The power curve provides the probability of Correctly accepting the null hypothesis Incorrectly accepting the null hypothesis Correctly rejecting the alternative hypothesis Correctly rejecting the null hypothesis 7. Suppose that Ho: μ ≤...
Question: Hypothesis Testing test the following: Hypothesis Testing test the following: Determine if there is sufficient evidence to conclude the average amount of births is over 8000 in the United States and territories at the 0.05 level of significance. Sample Size is 52 (states and US territories) Mean: 6,869 Median: 6,869 Standard Deviation: 8,100 Minimum: 569 Maximum : 45,805 Clearly state a null and alternative hypothesis. Give the value of the test statistic. Report the P-Value. Clearly state your conclusion...
PLEASE ANSWER CLEARLY
A manufacturer of flashlight batteries claims that its batteries will last an average of 34 hours of continuous use. An analyst wants to test the claim that the mean life expectancy of the flashlight batteries is different from 34 hours. During consumer testing a random sample of 50 batteries lasted an average of 33.2 hours with a standard deviation of 2.6 hours. A One sample T summary hypothesis test: : Mean of population Ho: = 34 HAM...
Hypothesis Testing Quiz In a sample of 500 students, the average amount of time they spent watching tv each day was 2.9 hrs with standard deviation .8 hrs. In a sample of 450 non-students, the average amount of time watching tv each day was 3.2 hrs with standard deviation 1.5 hours. At the 95% confidence level, do non-students (on average) watch more tv than students?