Tail probability table
[DOC File]Counting Problems - Lone Star College System
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What is the probability that in exactly three rounds of tosses, all the coins will have been removed? {Hint: How can this happen? 3 heads, 3 heads, 3 tails 3 heads, 2 heads, 2 tails 3 heads, 1 head, 1 tail 2 heads, 2 heads, 2 tails 2 heads, 1 head, 1 tail 1 head, 1 head, 1 tail }
[DOC File]PROBABILITY AND EXPECTED VALUE - Fulshear, Texas
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Table 2: We recast Table 1 in terms of probability Adding up the first column tells you the probability P(D) that the selected person lives in the dorms: 24/200 + 1/200 = 25/200 = .125. In parallel fashion, the probability of not living in the dorms is .18 + .695 = .875.
[DOC File]Columbia University in the City of New York
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In the standard normal table, we note that an upper-tail probability of 0.15 (found by looking in the middle of the table for a probability near 0.35) corresponds to about 1.04 standard deviations above the mean, and a probability of 0.25 corresponds to about 0.67 standard deviations above the mean.
[DOC File]Project 1: Analyzing the Distribution of Stock Price Changes
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3.3. Relationship of ``fatter tail probabilities'' and the coefficient of excess. From the above computation, we easily find that. Combining it with the fatter tail probabilities comparison results, we can find coefficient of excess is really a good measurement of fatness, as long as it exists. Furthermore, it is bigger, the tail …
[DOC File]Columbia University in the City of New York
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In the z-table, 1.75 standard deviations corresponds to a probability of 0.4599, so our one-tailed p-value is approximately 0.5 – 0.4599 = 0.0401. Since this value is smaller than 0.05, we reject the null hypothesis, and conclude that the true population mean is less than 2.8 feet.
[DOC File]Upper Tail Probabilities – Standard Normal (Z) Distribution
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Title: Upper Tail Probabilities – Standard Normal (Z) Distribution Author: Larry Winner Last modified by: winner Created Date: 9/17/2010 10:53:00 AM
[DOCX File]Numerical Examples for Statistical Tables
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tail probabilities, except the F-Table, which contains the critical values for the right-tail probabilities only. However, one might use the following nice property of F-distribution that: F 1, 2, 1- = 1 / F 2, 1, to obtain the critical values for the left-tail probabilities. Here is a numerical example:
[DOC File]PERT Calculations
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That means that the total area from -Infinity to the upper limit is 90% (the area between the limits) + 5% (the area in the lower tail), or 95%. We are now ready to work with the table. We look in the body of the table for the number closest to .9500, (subtract 0.5000 from our probability first, if needed so look for 0.9500 - 0.5000 = 0.4500).
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