Explain whether or not the normal approximation is used to find P ( X > 10 ) .

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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 6.4, Problem 1CYU

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Explain whether or not the normal approximation is used to find P(X>10).

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The following is a list of data on the duration of a sample of 200 outbreaks, in hours. 107 73 68 97 76 79 94 59 98 57 54 65 71 70 84 88 62 82 61 79 98 66 62 79 86 68 74 61 62 116 65 88 64 79 78 74 92 75 5289 85 28 73 80 68 78 89 72 78 88 77 103 88 63 68 90 62 89 71 71 74 222 R 82 79 70 ST☑ 65 98 77 86 58 69 88 81 74 70 65 81 75 81 78 90 78 96 75 KRRE F S 62 94 62 79 83 93 135 71 85 84 83 63 61 65 83 70 70 81 77 72 84 33 62 92 65 67 59 58 66 66 94 77 63 71 101 78 43 78 66 75 68 76 59 67 61 71 64 76 72 77 74 65 82 86 66 86 68 85 27% 96 72 77 60 67 87 83 68 72 74 91 76 83 งงง 8 སྐྱ ཐྭ ༄ ཏྱཾ 89 81 71 85 99 59 92 87 84 75 77 51 45 80 84 93 69 76 89 75 67 92 89 82 96 77 102 66 68 61 73 72 76 73 77 79 94 63 59 62 71 81 65 73 63 63 89 82 64 85 92 64 73 a. What is the variable? What type? b. Construct an interval-frequency table, with columns containing: class mark, absolute frequency, relative frequency, cumulative frequency, cumulative relative frequency, and percentage frequency.

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 6.4, Problem 1CYU

To determine

Explain whether or not the normal approximation is used to find P(X>10).

Expert Solution & Answer

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Check out a sample textbook solution

See solution

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 6.4, Problem 1CYU

To determine

Explain whether or not the normal approximation is used to find P(X>10).

Expert Solution & Answer

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Check out a sample textbook solution

See solution

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 6.4, Problem 1CYU

To determine