Z distribution critical values table

    • [DOC File]PERT Calculations

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      Z = -----Standard Deviation “Z” is the number you can look up in the border of the Normal Distribution Table in the back of your textbook. You then read the probability out of the body of the table. Suppose you boss wants the project done in 25 weeks. You now have all the data you need to calculate Z.

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    • [DOC File]Z-Score Practice Worksheet

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      A normal distribution of scores has a standard deviation of 10. Find the z-scores corresponding to each of the following values: A score of 60, where the mean score of the sample data values is 40. Z=2. A score that is 30 points below the mean. z=-3. A score of 80, where the mean score of the sample data values is 30. Z=5

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    • [DOC File]Portland Community College

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      (b) Locate the two critical values t* from Table D that bracket t. (c) Between what two values does the P-value of the test fall (From Table D)? (d) Is the value t = 2.40 statistically significant at the 5% level? At the 1% level? (e) If you have software available, find the exact P-value. 7.25 Random distribution …

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    • [DOC File]Chapter Nine

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      The critical value of z separates the rejection region from the nonrejection region and is found from a table such as the standard normal distribution table. The observed value of z is the value calculated for a sample statistic such as .

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    • [DOC File]DEFININITIONS, RULES AND THEOREMS

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      Critical values: If n ≤ 30, critical values are found in Table A-3 (t distribution) If n > 30, critical values are found in Table A-2 (z distribution) Confidence Intervals d – E < (d < d – E. where and degrees of freedom = n - 1. CALCULATOR: Enter data in L1 – L2 → L3, STAT, TESTS, T-Test, use Data, ENTER

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    • Appendix I: Remedial Math Review - CUNY Academic Works

      The normal distribution with its z-values is based on the Central Limit Theorem. It has certain assumptions when estimating the population mean: 1.Shape of the population is unknown, but the number of observations is 30 or more and, therefore, the sampling distribution is normal

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