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Question : A company had 80 employees whose salaries are summarized in the frequency distribution : 2151661

Compute the standard deviation.

A) 12.03

B) 1.09

C) 1.05

D) 1.00

76) A company had 80 employees whose salaries are summarized in the frequency distribution below. Find the standard deviation.

A) 8011.5

B) 8234.1

C) 7789.0

D) 7418.1

77) The test scores of 40 students are summarized in the frequency distribution below. Find the standard deviation.

A) 14.9

B) 13.5

C) 14.2

D) 12.8

78) The manager of a bank recorded the amount of time each customer spent waiting in line during peak business hours one Monday. The frequency distribution below summarizes the results. Find the standard deviation. Round your answer to one decimal place.

A) 5.0

B) 5.3

C) 7.0

D) 5.5

79) The heights of a group of professional basketball players are summarized in the frequency distribution below. Find the standard deviation. Round your answer to one decimal place.

A) 2.9

B) 2.8

C) 3.2

D) 3.3

Solve the problem.

80) A data set consists of 117 test scores. Over a long period it has been found that the mean and standard deviation for these scores are known and that the scores are normally distributed. How many scores within this data set should lie within one standard deviation of the mean? Round your answer to the nearest whole number.

A) 88

B) 112

C) 40

D) 80

81) A data set consists of 103 test scores. Over a long period it has been found that the mean and standard deviation for these scores are known and that the scores are normally distributed. How many scores within this data set should lie within two standard deviations of the mean? Round your answer to the nearest whole number.

A) 70

B) 98

C) 103

D) 49

82) A data set consists of 226 test scores. Over a long period it has been found that the mean and standard deviation for these scores are known and that the scores are normally distributed. How many scores within this data set should lie within three standard deviations of the mean? Round your answer to the nearest whole number.

A) 216

B) 154

C) 225

D) 113

83) A data set consists of 138 test scores. Over a long period it has been found that the mean and standard deviation for these scores are known and that the scores are normally distributed. How many scores within this data set should lie between the mean and two standard deviations below the mean? Round your answer to the nearest whole number.

A) 69

B) 47

C) 66

D) 132

84) A data set consists of 80 test scores. Over a long period it has been found that the mean and standard deviation for these scores are known and that the scores are normally distributed. How many scores within this data set should lie between the mean and one standard deviations above the mean? Round your answer to the nearest whole number.

A) 27

B) 38

C) 55

D) 40

85) A data set consists of 558 lightbulbs. Over a long period of time, the lifetimes of those lightbulbs have been tested. It has been found that the mean and standard deviation are known and the lifetimes of the bulbs are normally distributed. What number of bulbs within this data set will have lifetimes that lie between the mean and two standard deviations below the mean? Round your answer to the nearest whole number.

A) 76

B) 275

C) 190

D) 266

86) A data set consists of 513 lightbulbs. Over a long period of time, the lifetimes of those lightbulbs have been tested. It has been found that the mean and standard deviation are known and the lifetimes of the bulbs are normally distributed. What number of bulbs within this data set will have lifetimes that lie within 2 standard deviations to either side of the mean? Round your answer to the nearest whole number.

A) 490

B) 256

C) 245

D) 431

87) A data set consists of 975 lightbulbs. Over a long period of time, the lifetimes of those lightbulbs have been tested. It has been found that the mean and standard deviation are known and the lifetimes of the bulbs are normally distributed. What number of bulbs within this data set will have lifetimes that lie within 3 standard deviations to either side of the mean? Round your answer to the nearest whole number.

A) 975

B) 819

C) 486

D) 972

88) The diameters of bolts produced by a certain machine are normally distributed with a mean of 0.30 inches and a standard deviation of 0.01 inches. What percentage of bolts will have a diameter greater than 0.32 inches?

A) 47.72%

B) 37.45%

C) 97.72%

D) 2.28%

89) The incomes of trainees at a local mill are normally distributed with a mean of $1100 and a standard deviation $150. What percentage of trainees earn less than $950 a month?

A) 15.87%

B) 35.31%

C) 40.82%

D) 90.82%

90) The volumes of soda in quart soda bottles are normally distributed with a mean of 32.6 oz and a standard deviation of 1.2 oz. What is the probability that the volume of soda in a randomly selected bottle will be less than 32 oz?

A) 0.5987

B) 0.0987

C) 0.3085

D) 0.3821

91) A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 200 and 275.

A) 0.4332

B) 0.9332

C) 0.0668

D) 0.5000

92) In one region, the September energy consumption levels for single-family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 250 kWh. For a randomly selected home, find the probability that the September energy consumption level is between 1100 kWh and 1225 kWh.

A) 0.3791

B) 0.1122

C) 0.2881

D) 0.0910

93) The lengths of human pregnancies are normally distributed with a mean of 264 days and a standard deviation of 12 days. What is the probability that a pregnancy lasts at least 300 days?

A) 0.4834

B) 0.0179

C) 0.9834

D) 0.0013

94) Assume that the weights of quarters are normally distributed with a mean of 5.67 g and a standard deviation 0.070 g. A vending machine will only accept coins weighing between 5.47 g and 5.77 g. What percentage of legal quarters will be rejected?

A) 2.48%

B) 0.0196%

C) 1.62%

D) 3.95%

95) Scores on a certain test have been found to be distributed normally with a mean of 70 and a standard deviation of 13. What is the standard error in the mean for all samples of 144 test scores?

A) 5.833

B) 1.083

C) 0.766

D) 0.090

96) Scores on a certain test have been found to be distributed normally with a mean of 68 and a standard deviation of 11. What is the standard error in the standard deviation for all samples of 133 test scores?

A) 0.041

B) 0.954

C) 4.169

D) 0.674

97) Suppose that the systolic blood pressure of 25-year-old women is normally distributed with a mean of 112 mmHg and a standard deviation of 13 mmHg. What is the standard error in the standard deviation for all samples of 159 of these 25-year-old women?

A) 1.402

B) 0.056

C) 0.869

D) 0.729

98) Suppose that the systolic blood pressure of 22-year-old women is normally distributed with a mean of 122 mmHg and a standard deviation of 12 mmHg. What is the standard error in the mean for all samples of 171 of these 22-year-old women?

A) 1.682

B) 1.086

C) 0.076

D) 0.918

99) The lifetimes of light bulbs of a particular type are normally distributed with a mean of 210 hours and a standard deviation of 12 hours. What percentage of the bulbs have lifetimes that lie within 1 standard deviation to either side of the mean?

A) 68.26%

B) 84.13%

C) 95.44%

D) 31.74%

100) The systolic blood pressure of 18-year-old women is normally distributed with a mean of 120 mmHg and a standard deviation of 12 mmHg. What percentage of 18-year-old women have a systolic blood pressure between 96 mmHg and 144 mmHg?.

A) 99.74%

B) 95.44%

C) 99.99%

D) 68.26%

101) At one college, GPA's are normally distributed with a mean of 2.8 and a standard deviation of 0.4. What percentage of students at the college have a GPA between 2.4 and 3.2?

A) 95.44%

B) 84.13%

C) 68.26%

D) 99.74%

102) A group of test scores are normally distributed with a mean of 83 and a standard deviation of 4. What percentage of the test scores falls within 2 standard deviations to either side of the mean?

A) 47.72%

B) 95.44%

C) 68.26%

D) 81.85%