Normal probability distribution chart

    • [DOCX File]California State University, Northridge

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      Is sometimes known as a rectangular distribution, this distribution has a constant probability; any outcome has the same probability of happening as any other outcome. To calculate the height of a uniform distribution you use the formula: F(x)=1/B-A, where B is the maximum value in the distribution and A is the minimum value in the distribution.

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    • [DOC File]The Practice of Statistics

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      Normal curves. Normal distributions. 68-95-99.7 rule. standard Normal distribution. standard Normal table. Normal probability plot. mu . sigma 2.1 Describing Location in a Distribution (pp.84-103) 1. A percentile is… Is there a difference between the 80th percentile and the top 80%? Explain. Is there a difference between the 80th percentile ...

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    • [DOC File]Sampling and Sample Size - Columbia University

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      where P is the expected proportion who have the characteristic of interest, W is the width of the confidence interval (equal to twice the “margin of error”), and zα is a value from the normal distribution related to and representing the confidence level (equal to 1.96 for 95% confidence).

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    • [DOC File]Z-Score Practice Worksheet

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      Oct 13, 2015 · For a normal distribution, find the z-score that separates the distribution as follows: Separate the highest 30% from the rest of the distribution. . Separate the lowest 40% from the rest of the distribution. Separate the highest 75% from the rest of the distribution. For the numbers below, find the area between the mean and the z-score: z = 1.17

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    • [DOC File]San Jose State University

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      From cholesterol to zebra stripes, the normal probability distribution describes the proportion of a population having a specific range of values for an attribute. Most members have amounts that are near the average; some have amounts that are farther away from the average; and some have amounts extremely distant from the average.

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    • [DOC File]Chapter 1 Vocabulary - Introduction to Statistics

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      Chapter 5 – Normal Probability Distributions. Write a definition in your own words. Give an example when applicable. Section 5.1 – Introduction to Normal Distribution. Continuous Probability Distribution – Normal Distribution – Normal Curve – Standard Normal Distribution – Section 5.3 – Normal Distributions: Finding Values

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    • [DOC File]The Practice of Statistics - AP STATISTICS - AP Statistics

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      Normal curves. Normal distributions. 68-95-99.7 rule. standard Normal distribution. standard Normal table. Normal probability plot. mu . sigma 2.1 Describing Location in a Distribution (pp.84-103) 1. A percentile is… Is there a difference between the 80th percentile and the top 80%? Explain. Is there a difference between the 80th percentile ...

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    • [DOC File]Z-Score Practice Worksheet

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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

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    • [DOCX File]Hypothesis Testing - University of Houston

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      A probability plot shows the relationship between the given data set and the z-values of the normal distribution. If all the points fall on a line, the distribution is normal. If the relationship is not linear, the distributions have different shapes.

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    • [DOC File]NORMAL DISTRIBUTION N( , )

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      Normal distribution represents the probability of all the possible outcomes. The probabilities of all possible outcomes add up to 1. Therefore the total area under the bell curve is equal to 100% or 1. The curve approaches the x-axis but never touches it, except at infinity (). Normal Distribution obeys the 68-95-99 rule. The 68-95-99.7 Rule ...

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