Confidence Intervals and Tests of Significance
... samples have a common standard deviation, then we pool the data to compute sp , the pooled standard deviation. Matched pair procedures use a one sample procedure on the difference in the observed values. For these tests, we need a sample size large enough so that the central limit theorem is a suffi ...
... samples have a common standard deviation, then we pool the data to compute sp , the pooled standard deviation. Matched pair procedures use a one sample procedure on the difference in the observed values. For these tests, we need a sample size large enough so that the central limit theorem is a suffi ...
Probability Theory, Discrete, and Continuous Probability
... in S and 0 ≤ Pr(A) ≤ 1. 5. Let S be a sample space, and let Pr be a probability function on S. The probability that the event A does not happen is 1 − Pr(A). D. Conditional Probability and Independence Suppose a population of N people contains NA color-blind people, NB females, and NA∩B people who a ...
... in S and 0 ≤ Pr(A) ≤ 1. 5. Let S be a sample space, and let Pr be a probability function on S. The probability that the event A does not happen is 1 − Pr(A). D. Conditional Probability and Independence Suppose a population of N people contains NA color-blind people, NB females, and NA∩B people who a ...
binomial distribution
... observations, p is the probability of success. To determine P(X ≤ x) Use binomcdf(n, p, x): where n is the number of observations, p is the probability of success. To determine P(X > x) Use 1-binomcdf(n, p, x): where n is the number of observations, p is the probability of success. To determin ...
... observations, p is the probability of success. To determine P(X ≤ x) Use binomcdf(n, p, x): where n is the number of observations, p is the probability of success. To determine P(X > x) Use 1-binomcdf(n, p, x): where n is the number of observations, p is the probability of success. To determin ...
Monday October 25, 2010 Things to do in the computer lab:
... c) Now put the cursor in cell H26. Select the statistical function “Median”. Make sure that “H2:H23” is typed in for “number1”, or you can just select the column and the cell numbers will show up. Press “OK”. The median will now be in cell H26. d) Put the cursor in cell H27, select the statistical f ...
... c) Now put the cursor in cell H26. Select the statistical function “Median”. Make sure that “H2:H23” is typed in for “number1”, or you can just select the column and the cell numbers will show up. Press “OK”. The median will now be in cell H26. d) Put the cursor in cell H27, select the statistical f ...
6.1 - 6.2 Applications
... c. Combine your data with 3 other students so that you have a total of 100 simulations. How many times out of 100 did you beat Pau Kerr? Is this a fair game? Suppose a major league baseball player has a current batting average of .320 [AVG = number of hits/number of at bats]. a. Describe an assignme ...
... c. Combine your data with 3 other students so that you have a total of 100 simulations. How many times out of 100 did you beat Pau Kerr? Is this a fair game? Suppose a major league baseball player has a current batting average of .320 [AVG = number of hits/number of at bats]. a. Describe an assignme ...
Solutions
... (b) What is the probability that the coin yields heads and the die yields 4? 1/12 either by uniform probability (12 elements in sample space) or by independence. (c) What is the probability that the die yields a number less than 3? 2/3 (d) What is the probability that the coin yields heads and the d ...
... (b) What is the probability that the coin yields heads and the die yields 4? 1/12 either by uniform probability (12 elements in sample space) or by independence. (c) What is the probability that the die yields a number less than 3? 2/3 (d) What is the probability that the coin yields heads and the d ...
PowerPoint
... • If random samples of n observations are drawn from a population with a finite mean, , and a finite variance 2, then, when n is large (usually greater than 30), the SAMPLE MEAN, will be approximately normally distributed with mean and variance 2/n. • The approximation becomes more accurate ...
... • If random samples of n observations are drawn from a population with a finite mean, , and a finite variance 2, then, when n is large (usually greater than 30), the SAMPLE MEAN, will be approximately normally distributed with mean and variance 2/n. • The approximation becomes more accurate ...
PDF
... • the t distribution is also known as the Student’s t distribution. The name Student came from the 19th Century research chemist William Sealy Gossett, who was employed by the brewing company Guinness to improve the yield of crops used to produce its beer. Gossett conducted agricultural experiments ...
... • the t distribution is also known as the Student’s t distribution. The name Student came from the 19th Century research chemist William Sealy Gossett, who was employed by the brewing company Guinness to improve the yield of crops used to produce its beer. Gossett conducted agricultural experiments ...
