The probability for x ≤ 25 by normal approximation if the probability of a binomial distribution is p = 0.2 and the number of independent trial is n = 120 .

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

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Answer 2

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Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 3

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

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Answer 4

Question

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

Expert Solution & Answer

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Answer 5

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

Answer 6

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

Answer 7

Chapter 8, Problem 11T

To determine

To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

Answer 8

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Answer 9

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Answer 10

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Answer 11

Ch. 8.1 - Determine whether the following experiments...Ch. 8.1 - Prob. 2CP Ch. 8.1 - Determine whether the following experiments...Ch. 8.1 - Prob. 4CP Ch. 8.1 - 1. Suppose a fair die is rolled 18 times. (a) What...Ch. 8.1 - 2. Suppose a fair coin is tossed 12 times. (a)...Ch. 8.1 - 3. If the probability of success on each of 6...Ch. 8.1 - Prob. 4E Ch. 8.1 - 5. Suppose a fair coin is tossed 6 times. What is...Ch. 8.1 - Prob. 6E

The probability for x ≤ 25 by normal approximation if the probability of a binomial distribution is p = 0.2 and the number of independent trial is n = 120 .

Solution Summary: The author explains how the probability of a binomial distribution can be approximated accurately using the formula for the compliment of probability p.

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To calculate: The probability for x≤25 by normal approximation if the probability of a binomial distribution is p=0.2 and the number of independent trial is n=120.

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