Exam 6: Continuous Probability Distributions

Exhibit 6-1 Consider the continuous random variable x, which has a uniform distribution over the interval from 20 to 28. -Refer to Exhibit 6-1. The probability density function has what value in the interval between 20 and 28?

(Multiple Choice)

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Question 81

Given that z is a standard normal random variable, what is the value of z if the area to the left of z is 0.9382?

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Question 82

The contents of soft drink bottles are normally distributed with a mean of twelve ounces and a standard deviation of one ounce. a.What is the probability that a randomly selected bottle will contain more than ten ounces of soft drink? b.What is the probability that a randomly selected bottle will contain between 9.5 and 11 ounces? c.What percentage of the bottles will contain less than 10.5 ounces of soft drink?

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Question 83

The time between arrivals of customers at the drive-up window of a bank follows an exponential probability distribution with a mean of 10 minutes. a.What is the probability that the arrival time between customers will be 7 minutes or less? b.What is the probability that the arrival time between customers will be between 3 and 7 minutes?

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Question 84

Z is a standard normal random variable. The P(1.41 $\le$ z $\le$ 2.85) equals

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Question 85

Exhibit 6-7 -Refer to Exhibit 6-7. The mean of x is

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Question 86

Exhibit 6-6 The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 and a standard deviation of 5,000 miles. -Refer to Exhibit 6-6. What percentage of tires will have a life of 34,000 to 46,000 miles?

(Multiple Choice)

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Question 87

The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is

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Question 88

There is a lower limit but no upper limit for a random variable that follows the

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Question 89

For a uniform probability density function, the height of the function

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Question 90

Exhibit 6-7 -The time it takes to hand carve a guitar neck is uniformly distributed between 110 and 190 minutes. a.What is the probability that a guitar neck can be carved between 95 and 165 minutes? b.What is the probability that the guitar neck can be carved between 120 and 200 minutes? c.Determine the expected completion time for carving the guitar neck. d.Compute the standard deviation.

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Question 91

Excel's EXPON.DIST function can be used to compute

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Question 92

The time at which the mailman delivers the mail to Ace Bike Shop follows a normal distribution with mean 2:00 PM and standard deviation of 15 minutes. a. What is the probability the mail will arrive after 2:30 PM? b. What is the probability the mail will arrive before 1:36 PM? c. What is the probability the mail will arrive between 1:48 PM and 2:09 PM?

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Question 93

The mean of a standard normal probability distribution

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Question 94

The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product in 7 minutes or more is

(Multiple Choice)

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Question 95

Given that z is a standard normal random variable, what is the value of z if the area to the right of z is 0.1401?

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Question 96

A continuous random variable is uniformly distributed between a and b The probability density function between a and b is

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Question 97

X is a normally distributed random variable with a mean of 22 and a standard deviation of 5. The probability that x is less than 9.7 is

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Question 98

Exhibit 6-7 -All of the following distributions are symmetric except

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Question 99

Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces. -Refer to Exhibit 6-5. What is the probability that a randomly selected item will weigh between 11 and 12 ounces?

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Question 100

Showing 81 - 100 of 144

Exhibit 6-1 Consider the continuous random variable x, which has a uniform distribution over the interval from 20 to 28. -Refer to Exhibit 6-1. The probability density function has what value in the interval between 20 and 28?

Given that z is a standard normal random variable, what is the value of z if the area to the left of z is 0.9382?

Z is a standard normal random variable. The P(1.41 $\le$ z $\le$ 2.85) equals

Exhibit 6-7 -Refer to Exhibit 6-7. The mean of x is

Exhibit 6-6 The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 and a standard deviation of 5,000 miles. -Refer to Exhibit 6-6. What percentage of tires will have a life of 34,000 to 46,000 miles?

The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is

There is a lower limit but no upper limit for a random variable that follows the

For a uniform probability density function, the height of the function

Excel's EXPON.DIST function can be used to compute

The mean of a standard normal probability distribution

The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product in 7 minutes or more is

Given that z is a standard normal random variable, what is the value of z if the area to the right of z is 0.1401?

A continuous random variable is uniformly distributed between a and b The probability density function between a and b is

X is a normally distributed random variable with a mean of 22 and a standard deviation of 5. The probability that x is less than 9.7 is

Exhibit 6-7 -All of the following distributions are symmetric except

Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces. -Refer to Exhibit 6-5. What is the probability that a randomly selected item will weigh between 11 and 12 ounces?

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

Exam 6: Continuous Probability Distributions

Exhibit 6-1 Consider the continuous random variable x, which has a uniform distribution over the interval from 20 to 28. -Refer to Exhibit 6-1. The probability density function has what value in the interval between 20 and 28?

Given that z is a standard normal random variable, what is the value of z if the area to the left of z is 0.9382?

Z is a standard normal random variable. The P(1.41 ≤\le≤ z ≤\le≤ 2.85) equals

Exhibit 6-7 -Refer to Exhibit 6-7. The mean of x is

Exhibit 6-6 The life expectancy of a particular brand of tire is normally distributed with a mean of 40,000 and a standard deviation of 5,000 miles. -Refer to Exhibit 6-6. What percentage of tires will have a life of 34,000 to 46,000 miles?

The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is

There is a lower limit but no upper limit for a random variable that follows the

For a uniform probability density function, the height of the function

Excel's EXPON.DIST function can be used to compute

The mean of a standard normal probability distribution

The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product in 7 minutes or more is

Given that z is a standard normal random variable, what is the value of z if the area to the right of z is 0.1401?

A continuous random variable is uniformly distributed between a and b The probability density function between a and b is

X is a normally distributed random variable with a mean of 22 and a standard deviation of 5. The probability that x is less than 9.7 is

Exhibit 6-7 -All of the following distributions are symmetric except

Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces. -Refer to Exhibit 6-5. What is the probability that a randomly selected item will weigh between 11 and 12 ounces?

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

Z is a standard normal random variable. The P(1.41 $\le$ z $\le$ 2.85) equals