How to use standard normal distribution table

    • [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.

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    • [DOCX File]Year 12 Mathematics Standard 2 – MS-S5 The Normal …

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      The distribution above shows strong signs of a normal distribution. The distribution above shows signs of a normal distribution but there is a trend for late night shopping. Resource: the-shape-of-business-worksheet.DOCX. Understanding the standard deviation. Students should investigate the idea of spread and how it is represented mathematically.

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    • [DOC File]Using the Standard Normal Distribution Table

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      If you need more help in understanding how we use the standard normal distribution table, then here is what you can study. Review z-scores, Triola text, pp. 99-101 Make sure that you can convert a value on the original variable to a z-score (Just subtract the mean and divide by the standard deviation.

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    • [DOC File]When to Use the T-Distribution vs

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      When to Use the T-Distribution vs. the Normal Distribution for Confidence Interval and Hypothesis Testing Problems for Means Main Point to Remember: You must use the t-distribution table when working problems when the population standard deviation (σ) …

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    • [DOC File]Exam 3 Practice Questions

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      b. T. Since the population has a normal distribution, the sampling distribution of is normal. So, we can use the z table. c. T. Since the population has a normal distribution, the sampling distribution of is also normal. So, we can use the z table. d. F. The distribution is not Normal because the 68,95,99.7% rule does not apply.

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    • [DOC File]The normal distribution

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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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