MATLAB: An Introduction with Applications
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ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Describe type I and type II errors for this hypothesis test?
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A type 1 error is also known as a false positive and occurs when a researcher reject the null hypothesis when it is actually true.
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- Suppose a hypothesis test is performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up accepting the alternative hypothesis in error. True or Falsearrow_forwardYou are a research assistant at a zoo. The question of your study is "Has the proportion of baby zebras born in zoos has changed from 10%?". Your supervisor asks that you run a hypothesis test using an significance level of 0.05. Form the study you obtain a z-score of 0.788. Do you reject the null hypothesis and why?arrow_forwardState why a non-significant outcome does not mean the null hypothesis is probably true?arrow_forward
- Which element of a test of a hypothesis is used to decide whether to reject the null hypothesis in favor of the alternative hypothesis? Conclusion Test statistic Level of significance Rejection regionarrow_forwardWhat type of hypothesis test should be performed? Ex: Two-tailed t-test, left-tailed z-test, right-tailed z-test, or left-tailed t-test P1 = Ex: 0.123 P2 = Ex: 0.123 P = Ex: 0.123 What is the test statistic? Ex: 0.12 P-value? Ex: 0.123 Does sufficient evidence exist to support the claim that the level of support in city 1 is lower than that of city 2 at the α=0.1 significance level? Ex: yes or noarrow_forwardDescribe about the New Null Hypothesis for One-Tailed Tests.arrow_forward
- If an ANOVA test is conducted and the null hypothesis is rejected, what does this indicate? Multiple Choice The p-value is greater than a. At least one pair of population means is different. The population means are equal. All population means are different.arrow_forwardWhat does the decision to retain null hypothesis implies?arrow_forwardDescribe the significance of null hypothesis.arrow_forward
- Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. True Falsearrow_forwardWhat is F test of the null hypothesis?arrow_forwardWhy would it make sense to call the hypothesis test as a marginal or partial test?arrow_forward
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