The weight of items produced by a machine is normally distributed; mean = 9 ounces & standard deviation = 2 ounces.

The probability that a randomly selected item weighs exactly 9 = 0.

Consider the continuous random variable x, which has a uniform distribution over the interval from 10 to 20.

The variance of x is approximately 8.333

Continuous random variable x; uniform distribution over the interval from 10 to 18.

The probability that x will take on a value of at least 15 is .375

The ages of students at a university are normally distributed with a mean of 20.

The percentage of the student body that is at least 20 years is 50%.

The travel time between home & college is uniformly distributed between 30 and 80 minutes; probability of finishing...

the trip in greater than 70 minutes is 0.6667

The weight of football players is normally distributed with a mean of 205 pounds and a standard deviation of 10 pounds.

The minimum weight of the middle 95% of the players is 185.4

The weight of football players is normally distributed with a mean of 215 pounds and a standard deviation of 20 pounds.

The probability of a player weighing more than 248 pounds is = 0.0495

The weight of football players is normally distributed with a mean of 215 pounds and a standard deviation of 15 pounds.

The percent of players weigh between 190 and 240 pounds is 90.44%

studbud

Essentials of Modern Business Statistics - Chapter 06 - Continous Probability Distributions 02

10 termsStudBud Administration118 plays

Essentials of Modern Business Statistics with Microsoft® Excel® , 8th Edition Chapter 06 – Continuous Probability Distributions Jerry Roek https://www.linkedin.com/in/jerryroek

Flashcards10 cardsFPractice quizPHost liveL

Questions 10

Answers

1
The weight of items produced by a machine is normally distributed; mean = 9 ounces & standard deviation = 2 ounces.
The probability that a randomly selected item weighs exactly 9 = .50
The probability that a randomly selected item weighs exactly 9 = 1.
The probability that a randomly selected item weighs exactly 9 = 0.
The probability that a randomly selected item weighs exactly 9 = .34
2
Consider the continuous random variable x, which has a uniform distribution over the interval from 10 to 20.
only positive values in an interval/collection of intervals
The variance of x is approximately 8.333
only fraction values in an interval/collection of intervals
The variance of x is approximately 25
3
Continuous random variable x; uniform distribution over the interval from 10 to 18.
The probability that x will take on a value of at least 15 is .375
The probability that x will take on a value of at least 15 is 0
The probability that x will take on a value of at least 15 is .625
The probability that x will take on a value of at least 15 is 1
4
For a standard normal distribution, the probability of obtaining a z value between –2.8 and –2.0 is
0.0455
0.0051
0.0202
0.0253
5
The ages of students at a university are normally distributed with a mean of 20.
It could be any value, depending on the magnitude of the standard dev.
The percentage of the student body that is at least 20 years is 1.96%.
The percentage of the student body that is at least 20 years is 20%
The percentage of the student body that is at least 20 years is 50%.
6
The travel time between home & college is uniformly distributed between 30 and 80 minutes; probability of finishing...
the trip in greater than 70 minutes is 1
the trip in greater than 70 minutes is 0.6667
the trip in greater than 70 minutes is 0.0333
the trip in greater than 70 minutes is 0.3533
7
For a standard normal distribution, the probability of obtaining a z value between –1.7 and 1.1 is _____.
0.7287
0.8198
0.1802
0.3198
8
The weight of football players is normally distributed with a mean of 205 pounds and a standard deviation of 10 pounds.
The minimum weight of the middle 95% of the players is 185.4
The minimum weight of the middle 95% of the players is 189
The minimum weight of the middle 95% of the players is 224
The minimum weight of the middle 95% of the players is 221
9
The weight of football players is normally distributed with a mean of 215 pounds and a standard deviation of 20 pounds.
The probability of a player weighing more than 248 pounds is = 0.9011
The probability of a player weighing more than 248 pounds is = 0.9505
The probability of a player weighing more than 248 pounds is = 0.0495
The probability of a player weighing more than 248 pounds is = 0.4505
10
The weight of football players is normally distributed with a mean of 215 pounds and a standard deviation of 15 pounds.
The percent of players weigh between 190 and 240 pounds is 45.22%
The percent of players weigh between 190 and 240 pounds is 0.45%
The percent of players weigh between 190 and 240 pounds is 90.44%
The percent of players weigh between 190 and 240 pounds is 68.27%

Essentials of Modern Business Statistics - Chapter 06 - Continous Probability Distributions 02 Flashcards | StudBud