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[DOC File]2-sample t-test
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Step 3: test statistic -0.45 (So we . cannot. use the normal table) Step 4: p-value = 0.694. Step 5: conclusion: Since p-value > the significance level, we don’t reject Summary of the testing procedure for two population means: Hypotheses. vs. (lower-tail test) (upper-tail test) (two-sided test) Significance level. Test statistic. With df = P ...
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[DOCX File]math.arizona.edu
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The probability, computed assuming that H 0 is true, that the test statistic would take a value as extreme or more extreme than that actually observed is called the P-value of the test. The smaller the P-value, the stronger the evidence against H 0 provided by the data. If the P-value is as small as or smaller than a specified value a, the data ...
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[DOC File]Hypothesis Tests in Multiple Regression Analysis
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Comment: If p - g = 1, i.e. if the subset consists of a single independent variable, then this F-test is equivalent to the two-sided t-test presented in Part II. In fact, t2 = F. You might recall a similar result from simple regression analysis. Text Reference: Section 2.8. I’m extending the concept to multiple regression. Example Application
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[DOC File]Exam 3 Practice Questions
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B. We will reject the null when the p-value is smaller than the significance level. The p-value . of this test is 0.044, which is smaller than the levels at .10, .05, but larger than .01. So we reject the H when =0.10 and .05, but fail to reject the null when =.01. 25. a. T.
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[DOC File]AP Statistics Chapter 2 Test
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A significance test gives you a P-value of .04. From this we can (a) Reject at 1% significance level (b) Reject at 5% significance level (c) Say that the probability that is false is .04 (d) Say that the probability that is true is .04 (e) Say the results are significant at the 1% level.
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[DOC File]Hypothesis Test for a Population Mean
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P-value Approach to Hypothesis Testing. The p-value associated with the observed value of the test statistic is the probability of getting the observed value or a value more extreme (in the direction of Ha), assuming H0 is true. The p-value represents the probability of observing a sample outcome more contradictory to H0 than the observed ...
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[DOC File]How to interprete the minitab output of a regression analysis:
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P-Value = 0.000. This tells us that the sample estimates of Pearson correlation of Day and Weight is -0.998 based on 14 observations. When test for significance, a low p-value rejects the null that rho=0 and we conclude that the sample estimates just did not come from the noise. There is a meaningful linear relationship between the two variables.
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[DOC File]CHAPTER 9—HYPOTHESIS TESTS
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a. State the null and alternative hypotheses. b. Using the critical value approach, test the hypotheses at the 1% level of significance. c. Using the p-value approach, test the hypotheses at the 1% level of significance. ANS: a. H0: P 0.2 Ha: P > 0.2 b. Do not reject H0; test statistic Z = 1 < 2.33 c. Do not reject H0; p-value = 0.1587 > 0.01
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[DOCX File]DeKalb Early College Academy
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Support your conclusion with a test of significance. (b) Explain what the . P-value of your test means in the context of this problem. 5. The germination rate of seeds is defined as the proportion of seeds that, when properly planted and watered, sprout and grow. A certain variety of grass seed usually has a germination rate of 0.80, and a ...
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[DOC File]AP Stats Chapter 11 Notes: Significance Tests
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We will carry out the test twice, first with the usual significance test and then form a 99% confidence interval. What is the mean of the three concentrations? Test statistic: Because the alternative hypothesis is two sided, the p-value is. The 99% confidence interval for is. Conclusion: Assignment: p. 712-715 11.31 to 11.35, 11.37, 11.40
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Test of significance p value