Suppose the people living in a city have a mean score of 50 and a standard...
Suppose the people living in a city have a mean score of 50 and a standard deviation of 10 on a measure of concern about the environment. Assume that these concern scores are normally distributed. Using the 50%, -34%, -14% figures, approximately what percentage of people have a score above 40?
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Suppose the people living in a city have a mean score of 50 and
a standard...
Suppose the people living in a city have a mean score of 41 and a standard...
Suppose the people living in a city have a mean score of 41 and a standard deviation of 3 on a measure of concern about the environment. Assume that these concern scores are normally distributed. Using the 50%minus−34%minus−14% figures, approximately what percentage of people have a score (a) above 41, (b) above 44, (c) above 35, (d) above 38, (e) below 41, (f) below 44, (g) below 35, and (h) below 38?
Suppose the people living in a city have a mean score of 55 and a standard...
Suppose the people living in a city have a mean score of 55 and a standard deviation of 4 on a measure of concern about the environment. Assume that these concern scores are normally distributed. Using the 50%minus34%minus14% figures, what is the minimum score a person has to have to be in the top (a) 2%, (b) 16%, (c) 50%, (d) 84%, and (e) 98%?
Suppose the people living in a city have a mean score of 44 and a standard...
Suppose the people living in a city have a mean score of 44 and a standard deviation of 9 on a measure of concern about the environment. Assume that these concern scores are normally distributed. Using the 50%minus−34%minus−14% figures, what is the minimum score a person has to have to be in the top (a) 2%, (b) 16%, (c) 50%, (d) 84%, and (e) 98%?
Suppose 150 people take a random knowledge test, and say the mean score was 100 out...
Suppose 150 people take a random knowledge test, and say the mean score was 100 out of 200 points, with a standard deviation of 40. Supposing the scores are distributed in a normal probability distribution. Approximately how many people got above a 180? What is the probability that someone got between a 91 and a 157 on the quiz? (Round your answer to three digits after the decimal).
People in a large city have heights that are normally distributed with a mean of 73.5...
People in a large city have heights that are normally distributed with a mean of 73.5 inches and a standard deviation of 3.98 inches. Suppose we obtain random samples of 60 people and find the mean height of people in the samples. One sample of 60 people has a mean height of 74 inches. What is the Z-score of this sample mean? Round the value to two decimal places.
Approximately what percentage of people would have scores lower than an individual with a z-score of...
Approximately what percentage of people would have scores lower than an individual with a z-score of 1.65 in a normally distributed sample? Question 5 options: a) 95% b) 98% c) It is not possible to calculate this unless the mean and standard deviation are given d) 1%
Scores on the quantitative portion of an exam have a mean of 586 and a standard...
Scores on the quantitative portion of an exam have a mean of 586 and a standard deviation of 140. Assume the scores are normally distributed. What percentage of students taking the quantitative exam score above 621? What percentage of students taking the quantitative exam score above 621? (Round to the nearest whole number as needed.)
13. The ages of cars owned by all people living in a city have a mean...
13. The ages of cars owned by all people living in a city have a mean of 7.3 years and standard deviation of 2.2 years. Using the empirical rule, find the percentage of cars in the city that are between 5.1 and 9.5 years old.
The mean salary of people living in a certain city is $37500 with a standard deviation...
The mean salary of people living in a certain city is $37500 with a standard deviation of $1589. A sample of 46 people is selected at random from those living in the city. Find the probability that the mean income of the sample is less than $38000.
The mean salary of people living in a certain city is $37,500 with a standard deviation...
The mean salary of people living in a certain city is $37,500 with a standard deviation of $2,041. A sample of 63 people is selected at random from those living in the city. Find the probability that the mean income of the sample is within $500 of the population mean. Round your answer to 4 decimal places.
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