Question 1

No probability value may ever be less than

Accepted Answer

A)  1.00 
B)  .99 
C)  0 
D)  there is no upper limit to the size of a given probability value 
A)  1.00 
B)  .99 
C)  0 
D)  there is no upper limit to the size of a given probability value

Question 2

When the odds against an event occurring are 9 to 1, the probability that the event will occur is .10.

Accepted Answer

A) True 
 B)False

Question 3

When tossing coins, the odds against a "head" turning up are

Accepted Answer

A)  .50 
B)  .50% 
C)  1 to 1 
D)  2 to 1 
A)  .50 
B)  .50% 
C)  1 to 1 
D)  2 to 1

Question 4

The probability that any given event may be included between two positive z scores must be greater than .50.

Accepted Answer

A) True 
 B)False

Question 5

If an event has a probability value of .95, its frequency of occurrence is

Accepted Answer

A)  5% 
B)  95% 
C)  19 to 1 
D)  47.5% 
A)  5% 
B)  95% 
C)  19 to 1 
D)  47.5%

Question 6

Under the normal curve, the probability of a score occurring above the mean is

Accepted Answer

A)  .68 
B)  .50 
C)  2 to 1 
D)  .68% 
A)  .68 
B)  .50 
C)  2 to 1 
D)  .68%

Question 7

At a certain prison it was found that 71% of the inmates had had a first arrest at the age of 15 or younger. It was also found that 70% of the population were identified as having had a drug problem. What is the probability of selecting at random an inmate who had been arrested at 15 or younger and had also been identified as having a drug problem?

Accepted Answer

A)  .14 
B)  .50 
C) .95 
D)  .46 
A)  .14 
B)  .50 
C) .95 
D)  .46

Question 8

A probability value of 0 indicates that the event can never occur

Accepted Answer

A) True 
 B)False

Question 9

With a mean of 70 and an SD of 10, what is the probability of selecting a score of between 75 and 90?

Accepted Answer

The answer of With a mean of 70 and an...

Question 10

When the frequency of an event is 75%, its probability is

Accepted Answer

A)  3 to 1 
B)  .25 
C)  .67 
D)  none of these 
A)  3 to 1 
B)  .25 
C)  .67 
D)  none of these

Question 11

On a normal distribution 68% of the cases must fall above the mean

Accepted Answer

A) True 
 B)False

Question 12

When an event occurs at a frequency of 95%, its probability value is .05.

Accepted Answer

A) True 
 B)False

Question 13

The probability of obtaining a z score of +1.00 or lower, is

Accepted Answer

A)  1.00 
B)  .16 
C)  .84 
D)  .34 
A)  1.00 
B)  .16 
C)  .84 
D)  .34

Question 14

The use of z scores for obtaining probabilities is only possible when

Accepted Answer

A)  the events are independent 
B)  the probabilities are conditional 
C)  the distribution curve is symmetrical 
D)  the distribution curve is normal 
A)  the events are independent 
B)  the probabilities are conditional 
C)  the distribution curve is symmetrical 
D)  the distribution curve is normal

Question 15

When a specific event has a probability value of .05, then its frequency of occurrence is 95%.

Accepted Answer

A) True 
 B)False

Question 16

Suppose you had flipped a coin 19 times and "heads" had come up each time. The probability of flipping a "head" on the 20th flip would then be

Accepted Answer

A)  .50 
B)  .05 
C)  .95 
D)  .01 
A)  .50 
B)  .05 
C)  .95 
D)  .01

Question 17

The so-called law of averages only applies

Accepted Answer

A)  under controlled conditions 
B)  when the probabilities are conditional 
C)  in the long run 
D)  in the short run 
A)  under controlled conditions 
B)  when the probabilities are conditional 
C)  in the long run 
D)  in the short run

Question 18

A negative z score must yield a positive probability value.

Accepted Answer

A) True 
 B)False

Question 19

If an event can occur once out of 20 times, its probability value is

Accepted Answer

A)  .20 
B)  .80 
C)  .95 
D)  .05 
A)  .20 
B)  .80 
C)  .95 
D)  .05

Question 20

The "Gambler's Fallacy" overlooks the fact that probability values may never be greater than 100.

Accepted Answer

A) True 
 B)False

No probability value may ever be less than

When the odds against an event occurring are 9 to 1, the probability that the event will occur is .10.

When tossing coins, the odds against a "head" turning up are

The probability that any given event may be included between two positive z scores must be greater than .50.

If an event has a probability value of .95, its frequency of occurrence is

Under the normal curve, the probability of a score occurring above the mean is

A probability value of 0 indicates that the event can never occur

With a mean of 70 and an SD of 10, what is the probability of selecting a score of between 75 and 90?

When the frequency of an event is 75%, its probability is

On a normal distribution 68% of the cases must fall above the mean

When an event occurs at a frequency of 95%, its probability value is .05.

The probability of obtaining a z score of +1.00 or lower, is

The use of z scores for obtaining probabilities is only possible when

When a specific event has a probability value of .05, then its frequency of occurrence is 95%.

Suppose you had flipped a coin 19 times and "heads" had come up each time. The probability of flipping a "head" on the 20th flip would then be

The so-called law of averages only applies

A negative z score must yield a positive probability value.

If an event can occur once out of 20 times, its probability value is

The "Gambler's Fallacy" overlooks the fact that probability values may never be greater than 100.

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters

Exam 6: Probability

No probability value may ever be less than

When the odds against an event occurring are 9 to 1, the probability that the event will occur is .10.

When tossing coins, the odds against a "head" turning up are

The probability that any given event may be included between two positive z scores must be greater than .50.

If an event has a probability value of .95, its frequency of occurrence is

Under the normal curve, the probability of a score occurring above the mean is

A probability value of 0 indicates that the event can never occur

With a mean of 70 and an SD of 10, what is the probability of selecting a score of between 75 and 90?

When the frequency of an event is 75%, its probability is

On a normal distribution 68% of the cases must fall above the mean

When an event occurs at a frequency of 95%, its probability value is .05.

The probability of obtaining a z score of +1.00 or lower, is

The use of z scores for obtaining probabilities is only possible when

When a specific event has a probability value of .05, then its frequency of occurrence is 95%.

Suppose you had flipped a coin 19 times and "heads" had come up each time. The probability of flipping a "head" on the 20th flip would then be

The so-called law of averages only applies

A negative z score must yield a positive probability value.

If an event can occur once out of 20 times, its probability value is

The "Gambler's Fallacy" overlooks the fact that probability values may never be greater than 100.

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters