Z value normal distribution table
[DOC File]Z-Score Practice Worksheet
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The Standard Normal Distribution This table gives the area under the standardized normal curve from 0 to z, as shown by the shaded portion of the following figure. Examples: If z …
[DOC File]The normal distribution
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Find the range of values that defines the middle 80% of the distribution of SAT scores (372 and 628). Find the z-scores - -1.28, 1.28. For a normal distribution, find the z-score that separates the distribution as follows: Separate the highest 30% from the rest of the distribution. .52. Separate the lowest 40% from the rest of the distribution. .25
[DOC File]Using the Standard Normal Distribution Table
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Critical Value for the standard normal distribution: a z-score separating unlikely values from those that are likely to occur. Notation: denotes the z-score with an area of α to its right. α is the Greek letter alpha. Remember that Table A-2 lists cumulative areas to the left of a given z-score, so use 1 – α to find
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Table of the standard normal distribution values (z 0) Author: NOBODY Last modified by: NOBODY Created Date: 5/6/2005 7:48:00 AM Company: VŠE Other titles: Table of the standard normal distribution values (z 0)
[DOCX File]Hypothesis Testing - University of Houston
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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.
[DOC File]Common z values
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Also look on my list of symbols handout and see where it shows how to do the opposite--to find the value for X given a z-score (Triola reference: p. 265). Go over using the table for the standard normal distribution to find probabilities, given a z-score. See Triola, pp. 245-251.
[DOC File]Table of the standard normal distribution values (z 0)
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Use of the normal distribution table (page 612, Appendix A4) For any value of Z, the table reports the area under the curve to the right of Z. This area to the right of Z is the theoretical probability of randomly picking an individual from N(0,1) whose value is greater than Z. …
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