Question 1

The standard normal deviate (z) is defined as.

Accepted Answer

A) the individual score minus the population mean, divided by the population standard deviation 
B) the individual score plus the population mean, multiplied by 100 
C) the individual score divided by the population mean, multiplied by 100 
D) none of the above 
A) the individual score minus the population mean, divided by the population standard deviation 
B) the individual score plus the population mean, multiplied by 100 
C) the individual score divided by the population mean, multiplied by 100 
D) none of the above

Question 2

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 30 and 70?

Accepted Answer

A) .9544 
B) .3413 
C) .6826 
D) .9974 
A) .9544 
B) .3413 
C) .6826 
D) .9974

Question 3

Which of the following is true of a normal distribution?

Accepted Answer

A) It is a theoretical relative frequency distribution. 
B) No actual set of scores is exactly normally distributed. 
C) The total area under the distribution is equal to 1.0. 
D) All the above. 
A) It is a theoretical relative frequency distribution. 
B) No actual set of scores is exactly normally distributed. 
C) The total area under the distribution is equal to 1.0. 
D) All the above.

Question 4

In the standard normal distribution, which of the following intervals between z scores contains the largest proportion of scores?

Accepted Answer

A) -1.0 to +1.0 
B) 0.0 to +1.0 
C) +1.0 to +2.0 
D) 0.0 to -2.0 
A) -1.0 to +1.0 
B) 0.0 to +1.0 
C) +1.0 to +2.0 
D) 0.0 to -2.0

Question 5

In a normal distribution, what proportion of scores fall within the interval between the first standard deviation below the mean to the second standard deviation below the mean?

Accepted Answer

A) .6826 
B) .3413 
C) .8413 
D) .1359 
A) .6826 
B) .3413 
C) .8413 
D) .1359

Question 6

The standard normal distribution has a mean equal to and a standard deviation equal to.

Accepted Answer

A) 50; 10 
B) 100; 15 
C) 0; 1 
D) 1; 0 
A) 50; 10 
B) 100; 15 
C) 0; 1 
D) 1; 0

Question 7

A probability obtained by measuring actual long-term occurrences of an event is called a(n) probability.

Accepted Answer

A) theoretical 
B) empirical 
C) normal 
D) continuous 
A) theoretical 
B) empirical 
C) normal 
D) continuous

Question 8

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is between 400 to 600?

Accepted Answer

A) .1359 
B) .3413 
C) .6826 
D) .8413 
A) .1359 
B) .3413 
C) .6826 
D) .8413

Question 9

The frequency distribution of a normally distributed set of scores can be described completely by the and.

Accepted Answer

A) mean, standard deviation 
B) mean, median 
C) median, variance 
D) median, standard deviation 
A) mean, standard deviation 
B) mean, median 
C) median, variance 
D) median, standard deviation

Question 10

With a mean of 100 and a standard deviation of 10, the standard normal deviate for a score of 95 is.

Accepted Answer

A) +1.0 
B) +0.5 
C) -0.5 
D) -1.0 
A) +1.0 
B) +0.5 
C) -0.5 
D) -1.0

Question 11

In a normal distribution, what proportion of scores fall within the interval between the mean to one standard deviation above the mean?

Accepted Answer

A) .1359 
B) .3413 
C) .6826 
D) .8413 
A) .1359 
B) .3413 
C) .6826 
D) .8413

Question 12

The cumulative relative frequency in a normal distribution is equal to.

Accepted Answer

A) zero 
B) -1.0 to +1.0 
C) 1.0 
D) 100 
A) zero 
B) -1.0 to +1.0 
C) 1.0 
D) 100

Question 13

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 30 and 120?

Accepted Answer

A) .3413 
B) .6826 
C) .9544 
D) .9974 
A) .3413 
B) .6826 
C) .9544 
D) .9974

Question 14

If you obtained a standard score on a history test expressed as z = 0.0 and a standard score on a mathematics test of z = -0.5, then you did.

Accepted Answer

A) relatively better on the math test 
B) relatively better on the history test 
C) better than average on both tests 
D) worse than average on both tests 
A) relatively better on the math test 
B) relatively better on the history test 
C) better than average on both tests 
D) worse than average on both tests

Question 15

In probability, the occurrence of a set of outcomes is called a(n).

Accepted Answer

A) frequency 
B) event 
C) probability 
D) occurrence 
A) frequency 
B) event 
C) probability 
D) occurrence

Question 16

Which of the following standard scores reflects the poorest relative performance on a test?

Accepted Answer

A) z = +2.34 
B) z = 0.00 
C) z = -1.21 
D) z = -1.84 
A) z = +2.34 
B) z = 0.00 
C) z = -1.21 
D) z = -1.84

Question 17

The probability of an exact value of a score occurring in a continuous distribution is.

Accepted Answer

A) zero 
B) .25 
C) .50 
D) 1.00 
A) zero 
B) .25 
C) .50 
D) 1.00

Question 18

The normal distribution.

Accepted Answer

A) is a theoretical distribution 
B) can be described completely by knowing its mean and standard deviation 
C) is symmetrical and asymptotic 
D) all the above 
A) is a theoretical distribution 
B) can be described completely by knowing its mean and standard deviation 
C) is symmetrical and asymptotic 
D) all the above

Question 19

Which of the following standard scores reflects the best relative performance on a test?

Accepted Answer

A) z = -2.45 
B) z = +1.10 
C) z = -1.10 
D) z = 0.00 
A) z = -2.45 
B) z = +1.10 
C) z = -1.10 
D) z = 0.00

Question 20

In a normal distribution, what proportion of scores fall within the interval between the mean and the highest value in the distribution?

Accepted Answer

A) .250 
B) .500 
C) .750 
D) Cannot determine from the 
A) .250 
B) .500 
C) .750 
D) Cannot determine from the

The standard normal deviate (z) is defined as.

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 30 and 70?

Which of the following is true of a normal distribution?

In the standard normal distribution, which of the following intervals between z scores contains the largest proportion of scores?

In a normal distribution, what proportion of scores fall within the interval between the first standard deviation below the mean to the second standard deviation below the mean?

The standard normal distribution has a mean equal to and a standard deviation equal to.

A probability obtained by measuring actual long-term occurrences of an event is called a(n) probability.

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is between 400 to 600?

The frequency distribution of a normally distributed set of scores can be described completely by the and.

With a mean of 100 and a standard deviation of 10, the standard normal deviate for a score of 95 is.

In a normal distribution, what proportion of scores fall within the interval between the mean to one standard deviation above the mean?

The cumulative relative frequency in a normal distribution is equal to.

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 30 and 120?

If you obtained a standard score on a history test expressed as z = 0.0 and a standard score on a mathematics test of z = -0.5, then you did.

In probability, the occurrence of a set of outcomes is called a(n).

Which of the following standard scores reflects the poorest relative performance on a test?

The probability of an exact value of a score occurring in a continuous distribution is.

The normal distribution.

Which of the following standard scores reflects the best relative performance on a test?

In a normal distribution, what proportion of scores fall within the interval between the mean and the highest value in the distribution?

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 6: The Normal Distribution, Probability, and Standard Scores

The standard normal deviate (z) is defined as.

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 30 and 70?

Which of the following is true of a normal distribution?

In the standard normal distribution, which of the following intervals between z scores contains the largest proportion of scores?

In a normal distribution, what proportion of scores fall within the interval between the first standard deviation below the mean to the second standard deviation below the mean?

The standard normal distribution has a mean equal to and a standard deviation equal to.

A probability obtained by measuring actual long-term occurrences of an event is called a(n) probability.

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is between 400 to 600?

The frequency distribution of a normally distributed set of scores can be described completely by the and.

With a mean of 100 and a standard deviation of 10, the standard normal deviate for a score of 95 is.

In a normal distribution, what proportion of scores fall within the interval between the mean to one standard deviation above the mean?

The cumulative relative frequency in a normal distribution is equal to.

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 30 and 120?

If you obtained a standard score on a history test expressed as z = 0.0 and a standard score on a mathematics test of z = -0.5, then you did.

In probability, the occurrence of a set of outcomes is called a(n).

Which of the following standard scores reflects the poorest relative performance on a test?

The probability of an exact value of a score occurring in a continuous distribution is.

The normal distribution.

Which of the following standard scores reflects the best relative performance on a test?

In a normal distribution, what proportion of scores fall within the interval between the mean and the highest value in the distribution?

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters