Exam 6: Normal Probability Distributions

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Solve the problem. -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 . Find P6\mathrm { P } _ { 6 } , the score which separates the lower 60%60 \% from the top 40%40 \% .

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Using the following uniform density curve, answer the question. Using the following uniform density curve, answer the question.   -What is the probability that the random variable has a value less than 6? -What is the probability that the random variable has a value less than 6?

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Provide an appropriate response. -Describe the process for finding x values given probabilities.

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The Precision Scientific Instrument Company manufactures thermometers that are supposed to give readings of 0°C at the freezing point of water. Tests on a large sample of these thermometers reveal that at the freezing point of water, some give readings below 0°C (denoted by negative numbers) and some give readings above 0°C (denoted by positive numbers). Assume that the mean reading is 0°C and the standard deviation of the readings is 1.00°C. Also assume that the frequency distribution of errors closely resembles the normal distribution. A thermometer is randomly selected and tested. Find the temperature reading corresponding to the given information. -A quality control analyst wants to examine thermometers that give readings in the bottom 4%. Find the reading that separates the bottom 4% from the others.

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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 218 kWh. For a randomly selected home, find the probability that the September energy consumption level is between 1100 kWh and 1225 kWh.

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Assume that X has a normal distribution, and find the indicated probability. -The mean is μ=137.0\boldsymbol { \mu } = 137.0 and the standard deviation is σ=5.3\boldsymbol { \sigma } = 5.3 . Find the probability that XX is between 134.4134.4 and 140.1.

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Solve the problem. -In a population of 240 women, the heights of the women are normally distributed with a mean of 64.264.2 inches and a standard deviation of 3.23.2 inches. If 36 women are selected at random, find the mean μx\mu _ { \mathrm { x } } ^ { - } and standard deviation σx\sigma _ { \mathrm { x } } ^ { - } of the population of sample means. Assume that the sampling is done without replacement and use a finite population correction factor.

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Solve the problem. -Assume that z\mathrm { z } scores are normally distributed with a mean of 0 and a standard deviation of 1 . If P(a<z<a)=0.4314\mathrm { P } ( - \mathrm { a } < \mathrm { z } < \mathrm { a } ) = 0.4314 , find a\mathrm { a } .

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For the binomial distribution with the given values for n and p -The probability that the number of correct answers is between 16 and 38 inclusive

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Solve the problem. -A final exam in Math 160 has a mean of 73 with standard deviation 7.8. If 24 students are randomly selected, find the probability that the mean of their test scores is greater than 71.

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Solve the problem. -For women aged 18-24, systolic blood pressures (in mm Hg)are normally distributed with a mean of 114.8 and a standard deviation of 13.1. If 36 women are selected at random from a population of 300 women aged 18-24, find the probability that their mean systolic blood pressure will be less than 110 mm Hg. Assume that the sampling is done without replacement and use a finite population correction factor with N = 300.

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Estimate the indicated probability by using the normal distribution as an approximation to the binomial distribution. -In one county, the conviction rate for speeding is 85%. Estimate the probability that of the next 100 speeding summonses issued, there will be at least 90 convictions.

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Solve the problem. -Suppose that replacement times for washing machines are normally distributed with a mean of 9.3 years and a standard deviation of 1.1 years. Find the probability that 70 randomly selected washing machines will have a mean replacement time less than 9.1 years.

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For the binomial distribution with the given values for n and p -n = 18 and p = .6

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The systolic blood pressures of the patients at a hospital are normally distributed with a mean of 136 mm Hg and a standard deviation of 13.8 mm Hg. Find the two blood pressures having these properties: the mean is midway between them and 90% of all blood pressures are between them.

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A baseball player has a batting average of 0.346, so the probability of a hit is 0.346. Assume that his hitting attempts are independent of each other. Assume that the batter gets up to bat 4 times in each game. Estimate the probability that in 50 consecutive games, there are at least 45 games in which the batter gets at least one hit. (Hint: first find the probability that in one game the batter gets at least one hit)

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Construct a normal probability plot of the given data. Use your plot to determine whether the data come from a normally distributed population -The systolic blood pressure (in mmHg)is given below for a sample of 12 men aged between 60 and 65. 127 135 118 164 143 130 125 153 120 173 140 180  Construct a normal probability plot of the given data. Use your plot to determine whether the data come from a normally distributed population -The systolic blood pressure (in mmHg)is given below for a sample of 12 men aged between 60 and 65.  \begin{array} { l l l l }  127 & 135 & 118 & 164 \\ 143 & 130 & 125 & 153 \\ 120 & 173 & 140 & 180 \end{array}

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Solve the problem. -The amount of snowfall falling in a certain mountain range is normally distributed with a mean of 74 inches, and a standard deviation of 12 inches. What is the probability that the mean annual snowfall during 36 randomly picked years will exceed 76.8 inches?

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Using the following uniform density curve, answer the question. Using the following uniform density curve, answer the question.   -What is the probability that the random variable has a value greater than 5.3? -What is the probability that the random variable has a value greater than 5.3?

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Provide an appropriate response. -Describe the process for finding probabilities using z scores and the standard normal distribution. Give an example to support your description.

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