If p value is greater than 0

    • [PDF File]What is the difference between an alpha level and a p-value

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      We compare the p-value with the alpha to determine whether the observed data are statistically significantly different from the null hypothesis: If the . p-value. is less than or equal to the . alpha (p< .05), then we reject the null hypothesis, and we say the result is statistically significant. If the . p-value. is greater than

    • [PDF File]PROBLEM SET 1 - WOU

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      0, then the p-value must be greater than α; so if α=0.05, then the p-value > 0.05. However, this does not necessarily imply that the p-value must also be greater than 0.10. For example if the p-value = 0.08, then we would fail to reject H 0 at the significance level of α=0.05 since 0.08 > 0.05, but we would reject H 0

    • [PDF File]Statistical significance P-values

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      Common misinterpretation of p-values • A p-value greater than 0.05, eg p=0.25, is often used to conclude that “there is no effect” • This is incorrect • Such p-values only tell you that you don’t have enough evidence to say there is an effect • You cannot use p-values to conclude “no effect”

    • [PDF File]The Z-test - University of Washington

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      0.94 Since our p-value of 0.3472 is greater than 0.05, we fail to reject H0 and state that: The IQ of superb drug patients (M = 97.65) is not signi cantly di erent than 100, z=-0.94, p = 0.3472. To do this in R, we need to be sure to double our p-value since this is a two-tailed test.

    • [PDF File]Chapter 7, Dummy Variable - Miami University

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      If p-value is less than 0.05, H0 is rejected, so gender matters. We need to keep the dummy and interaction term in (16). That means, running two separate regressions, one for female and one for male, is better idea. ii. If p-value is greater than 0.05, H0 is not rejected, so gender does not matter. We need to drop the dummy and interaction term ...

    • The Correct Interpretation of Confidence Intervals

      groups contains the value 0, this means that the p-value will be greater than 0.05. Conversely, if the 95% CI does not contain the value 0, then the p-value will be strictly less than 0.05. The same applies when comparing groups using a ratio, such as an odds ratio or risk ratio. When using a

    • [PDF File]Hypothesis Testing for population mean

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      ) = P-value, ( z o ) = P-value Therefore, if the P-value is less than the significance level you would reject the null hypothesis and if the P-value is greater than the significance level you would accept the null hypothesis. The P-value Approach – Use when you are given a Minitab Printout

    • [PDF File]PRINTABLE VERSION - UH

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      In a hypothesis test, if the computed P-value is greater than a specified level of significance, then we a) reject the null hypothesis. b) fail to reject the null hypothesis. c) retest with a different sample. Question 2 A one-sided significance test gives a P-value of .03. From this we can

    • [PDF File]PRINTABLE VERSION - UH

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      In a hypothesis test, if the computed P-value is greater than a specified level of significance, then we a) reject the null hypothesis. b) fail to reject the null hypothesis. c) retest with a different sample. Question 2 A one-sided significance test gives a P-value of .05. From this we can a) Reject the null hypothesis with 94% confidence.

    • [PDF File]Solutions to Homework 8

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      won by the home team. We are testing to see if there is evidence that p>0:5, so we have H 0: p= 0:5 H a: p>0:5 This is a one-tail test since we are speci cally testing to see if the proportion is greater than 0.5. 2

    • [PDF File]Quality of Patient Care Star Ratings, Sample Provider ...

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      Value (p-value)". A probability value greater than 0.050 indicates that your HHA is not significantly different from the overall national median (at a standard 5 percent significance level). Row 17, "Your Statistical Test Results" indicates "Yes" if the p-value is equal to or less than 0.050 and "No" if the p-value is greater than 0.050.

    • [PDF File]AN INTRODUCTION TO CATEGORICAL DATA ANALYSIS, 3rd ed.

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      By trial and error, find a 3×3 table of counts for which the P-value is greater than 0.05 for the X2 test but less than 0.05 for the M2 ordinal test. Explain why this happens. 19. Of the six candidates for three managerial positions, three are female and three are male. Denote

    • [PDF File]Hypothesis Testing Exercises - Faculty Web

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      The P-value of 0.1423 is greater than the alpha level of 0.10. 8) 9) The U.S. Department of Labor and Statistics released the current unemployment rate of 5.3% for the month in the U.S. and claims the unemployment has not changed in the last two months. However, the states statistics reveal that there is a decrease in the U.S. unemployment rate

    • [PDF File]Interpreting Results of Case-Control Studies

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      A p-value of 0.01 means that there is less than one chance in 100 that an odds ratio of at least 11.2 would result by chance alone, if lettuce is not actually associated with illness. Because 0.01 is less than the cutoff of 0.05, the finding is considered statistically significant. Source: Centers for Disease Control and Prevention.

    • [PDF File]A die is rolled. Find the probability of each

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      P(value greater than $0.15) 62/87,21 The probability of an event A is the ratio of the number of favorable outcomes to the total number of outcomes. There are a total of 65 + 27 + 30 + 18 = 140 coins in the jar. A penny is worth $0.01, a nickel, $0.05, a dime $0.1 and a quarter is worth $0.25. So, selecting a coin

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