question archive QUESTION 3) A normal probability distribution is a continuous probability distribution is a discrete probability distribution can be either continuous or discrete must have a standard deviation of 1 1 points   QUESTION 4   A numerical description of the outcome of an experiment is called a descriptive statistic probability function variance random variable 1 points     QUESTION 5   A random variable that can assume only a finite number of values is referred to as a(n) infinite sequence finite sequence discrete random variable discrete probability function 1 points     QUESTION 6   A standard normal distribution is a normal distribution with a mean of 1 and a standard deviation of 0 with a mean of 0 and a standard deviation of 1 with any mean and a standard deviation of 1 with any mean and any standard deviation 1 points     QUESTION 7   A weighted average of the value of a random variable, where the probability function provides weights is known as a probability function a random variable the expected value random function 1 points     QUESTION 8   For a continuous random variable x, the probability density function f(x) represents the probability at a given value of x the area under the curve at x the area under the curve to the right of x the height of the function at x 1 points     QUESTION 9   Larger values of the standard deviation result in a normal curve that is shifted to the right shifted to the left narrower and more peaked wider and flatter 1 points     QUESTION 10   The function that defines the probability distribution of a continuous random variable is a normal function uniform function either normal of uniform depending on the situation probability density function 1 points     QUESTION 11   The highest point of a normal curve occurs at one standard deviation to the right of the mean two standard deviations to the right of the mean approximately three standard deviations to the right of the mean the mean 1 points     QUESTION 12   A probability distribution for all possible values of a sample statistic is known as a sample statistic a parameter simple random sampling a sampling distribution 1 points     QUESTION 13   A simple random sample from an infinite population is a sample selected such that each element is selected independently and from the same population each element has a 0

QUESTION 3) A normal probability distribution is a continuous probability distribution is a discrete probability distribution can be either continuous or discrete must have a standard deviation of 1 1 points   QUESTION 4   A numerical description of the outcome of an experiment is called a descriptive statistic probability function variance random variable 1 points     QUESTION 5   A random variable that can assume only a finite number of values is referred to as a(n) infinite sequence finite sequence discrete random variable discrete probability function 1 points     QUESTION 6   A standard normal distribution is a normal distribution with a mean of 1 and a standard deviation of 0 with a mean of 0 and a standard deviation of 1 with any mean and a standard deviation of 1 with any mean and any standard deviation 1 points     QUESTION 7   A weighted average of the value of a random variable, where the probability function provides weights is known as a probability function a random variable the expected value random function 1 points     QUESTION 8   For a continuous random variable x, the probability density function f(x) represents the probability at a given value of x the area under the curve at x the area under the curve to the right of x the height of the function at x 1 points     QUESTION 9   Larger values of the standard deviation result in a normal curve that is shifted to the right shifted to the left narrower and more peaked wider and flatter 1 points     QUESTION 10   The function that defines the probability distribution of a continuous random variable is a normal function uniform function either normal of uniform depending on the situation probability density function 1 points     QUESTION 11   The highest point of a normal curve occurs at one standard deviation to the right of the mean two standard deviations to the right of the mean approximately three standard deviations to the right of the mean the mean 1 points     QUESTION 12   A probability distribution for all possible values of a sample statistic is known as a sample statistic a parameter simple random sampling a sampling distribution 1 points     QUESTION 13   A simple random sample from an infinite population is a sample selected such that each element is selected independently and from the same population each element has a 0

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QUESTION 3) A normal probability distribution is a continuous probability distribution is a discrete probability distribution can be either continuous or discrete must have a standard deviation of 1

1 points  

QUESTION 4

 

A numerical description of the outcome of an experiment is called a

descriptive statistic

probability function

variance

random variable

1 points  

 

QUESTION 5

 

A random variable that can assume only a finite number of values is referred to as a(n)

infinite sequence

finite sequence

discrete random variable

discrete probability function

1 points  

 

QUESTION 6

 

A standard normal distribution is a normal distribution

with a mean of 1 and a standard deviation of 0

with a mean of 0 and a standard deviation of 1

with any mean and a standard deviation of 1

with any mean and any standard deviation

1 points  

 

QUESTION 7

 

A weighted average of the value of a random variable, where the probability function provides weights is known as

a probability function

a random variable

the expected value

random function

1 points  

 

QUESTION 8

 

For a continuous random variable x, the probability density function f(x) represents

the probability at a given value of x

the area under the curve at x

the area under the curve to the right of x

the height of the function at x

1 points  

 

QUESTION 9

 

Larger values of the standard deviation result in a normal curve that is

shifted to the right

shifted to the left

narrower and more peaked

wider and flatter

1 points  

 

QUESTION 10

 

The function that defines the probability distribution of a continuous random variable is a

normal function

uniform function

either normal of uniform depending on the situation

probability density function

1 points  

 

QUESTION 11

 

The highest point of a normal curve occurs at

one standard deviation to the right of the mean

two standard deviations to the right of the mean

approximately three standard deviations to the right of the mean

the mean

1 points  

 

QUESTION 12

 

A probability distribution for all possible values of a sample statistic is known as

a sample statistic

a parameter

simple random sampling

a sampling distribution

1 points  

 

QUESTION 13

 

A simple random sample from an infinite population is a sample selected such that

each element is selected independently and from the same population

each element has a 0.5 probability of being selected

each element has a probability of at least 0.5 of being selected

the probability of being selected changes

1 points  

 

QUESTION 14

 

A single numerical value used as an estimate of a population parameter is known as

a parameter

a population parameter

a mean estimator

a point estimate

1 points  

 

QUESTION 15

 

A subset of a population selected to represent the population is

a subset

a sample

a small population

a parameter

 

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