MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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A small p-value means that the
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- 23.Statistical power provides the same information as a p-value. True or False? 24. A statistically significant effect (i.e., p < .05) will always be practically meaningful. True or False ? 26. Rejecting the null hypothesis means that the sample outcome is very unlikely to have occurred if H0 is true. True or False ?arrow_forwardA student at a university wants to determine if the proportion of students that use iPhone's is less than 0.38. The hypotheses for this scenario are as follows. Null Hypothesis: p = 0.38, Alternative Hypothesis: p < 0.38. If the student randomly samples 29 other students and finds that 12 of them use iPhone's, what is the test statistic and p-value?arrow_forwardPlease help!arrow_forward
- A research scholar wants to know how many times per hour a certain strand of virus reproduces. He wants to construct the 90 % confidence interval with a maximum error of 0.2 reproductions per hour. Assuming that the mean is 11.9 reproductions and the variance is known to be 5.29, what is the minimum sample size required for the estimate? Round your answer up to the next integer.arrow_forwardrandom sample of 25 business students required an average of 50.7 minutes to complete a statistics exam. Assume that the population standard deviation to complete the exam was 10.4 minutes. The 99% confidence interval around this sample mean isarrow_forwardWhich of the following is often true for very large samples Significance tests are likely to produce statistically significant results even when the true value is close to the null value. The results will be statistically significant only when there is a true difference between the parameter and the null value. Significance tests are likely to produce nonsignificant results when the true value is close to the null value. A confidence interval will likely cover all possible values in the population.arrow_forward
- Evaluate the significance of the p-value. You can think of the p-value as the probability that the null hypothesis is true. A value greater than 0.05 indicates that in more than 1 in 20 (or more than 5%) repetitions of an experiment of the same size, the observed deviation from predicted valuescould have been obtained by chance, even if the null hypothesis is actually true; the data are therefore not significant for rejecting the null hypothesis. Statisticians have arbitrarily selected the 0.05 p-value as the boundarybetween rejecting or not rejecting the null hypothesis. A p-value of less than 0.05 means that you can consider the deviation to be significant, and you can reject the null hypothesis.arrow_forwardA research scientist wants to know how many times per hour a certain strand of bacteria reproduces. He wants to construct the 90% confidence interval with a maximum error of 0.21 reproductions per hour. Assuming that the mean is 10 reproductions and the variance is known to be 6.25, what is the minimum sample size required for the estimate? Round your answer up to the next integer.arrow_forward
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