Find the percent of people’s IQs would expect to be over 80 based on the normal model.

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Answer 1

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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 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

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21. find the mean. and variance of the following: Ⓒ x(t) = Ut +V, and V indepriv. s.t U.VN NL0, 63). X(t) = t² + Ut +V, U and V incepires have N (0,8) Ut ①xt = e UNN (0162) ~ X+ = UCOSTE, UNNL0, 62) SU, Oct ⑤Xt= 7 where U. Vindp.rus +> ½ have NL, 62). ⑥Xn = ΣY, 41, 42, 43, ... Yn vandom sample K=1 Text with mean zen and variance 6

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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 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

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 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

Expert Solution & Answer

Want to see the full answer?

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 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

Expert Solution & Answer

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Check out a sample textbook solution

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Answer 5

Chapter 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

Answer 6

Chapter 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

Answer 7

Chapter 5, Problem 10E

a.

To determine

Find the percent of people’s IQs would expect to be over 80 based on the normal model.

Answer 8

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

Answer 9

b.

To determine

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

Answer 10

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

Answer 11

c.

To determine

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

Answer 12

Expert Solution & Answer

Answer 13

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Answer 14

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Answer 15

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Find the percent of people’s IQs would expect to be over 80 based on the normal model.

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Find the percent of people’s IQs would expect to be over 80 based on the normal model.

Find the percent of people’s IQs would expect to be fewer than 90 based on the normal model.

Find the percent of people’s IQs would expect to be between 112 and 132 based on the normal model.

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