P value of 0 005
[DOC File]Two-tailed p values for the t-test
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Each tabled entry is the probability of a t as extreme as the column header if the null were true. t. df 0.500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 4.500 5.000
[DOC File]CHAPTER 13 REVIEW
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From the χ2 table, we see that 119.44 is larger than any value for 3 df. Hence, P value < 0.0005. [The TI-83 gives a P value of 1.02 x 10-25 (χ2cdf(119.44, 1E99, 3).] Because P value < 0.05, we reject the null and conclude that not all the proportions are as hypothesized in the null.
[DOC File]1) Arrange pairwise comparisons from largest to smallest p ...
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is larger than 0.05 so you go to the next step. ----- 3) Look at next largest p-value (0.005); if it is equal or . less than alpha/(number of total comparisons - rank order + 1), then . this comparison and others with lower p-values are significant. [Note: rank order is largest for the highest p-value, it goes . 3, 2, 1 in this example] Thus ...
[DOC File]Take-Home Exam STAT 210 ( pts
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A random survey of medical records at many schools across the country found that among the more than 13,000 children only 89.4% had been vaccinated. A statistician would reject the 90% hypothesis with a p-value of .011. a) Explain what the p-value means in this context. (2 pts.)
[DOC File]CHAPTER 9—HYPOTHESIS TESTS
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The p-value for this test is. a. -0.005 b. +0.005 c. -0.01 d. +0.01 ANS: D PTS: 1 TOP: Hypothesis Tests 31. In a lower one-tail hypothesis test situation, the p-value is determined to be 0.2. If the sample size for this test is 51, the t statistic has a value of.
[DOC File]1
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C) 0.005 < P-value < 0.01 D) 0.01 < P-value < 0.05 Use the following to answer questions 4-5. A study was conducted to compare 5 different training programs for endurance.
[DOC File]Hypothesis Testing:
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(ii) P-value = 2P(Z>4.844)=2(0)=0. Since the P-value ( (=0.05, reject H0. Conclude that it is different for two groups of residents. Population characteristics: Ratio of the two population variances, or standard deviations, . X and Y's are random sample from a normal distribution. and are the population variances for X's and Y's, respectively.
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