Question 1

In a set of 3 possible events that are mutually exclusive, what is the probability of two different events occurring together?

Accepted Answer

A)  0 
B)  0.33 
C)  0.11 
D)  0.66 
A)  0 
B)  0.33 
C)  0.11 
D)  0.66

Question 2

Inferential statistics allow you to evaluate whether a hypothesis is true or false.

Accepted Answer

A) True 
 B)False

Question 3

Freddie tosses a fair coin 3 times and gets T T T. What is the probability of obtaining tails if he tosses the coin for the fourth time?

Accepted Answer

A)  100% 
B)  50% 
C)  25% 
D)  10% 
A)  100% 
B)  50% 
C)  25% 
D)  10%

Question 4

In a deck of 52 cards, what is the probability of not drawing a five on the first draw?

Accepted Answer

A)  8% 
B)  25% 
C)  92.3% 
D)  87% 
A)  8% 
B)  25% 
C)  92.3% 
D)  87%

Question 5

In the law of large numbers, the "large numbers" refers to anything larger than 100.

Accepted Answer

A) True 
 B)False

Question 6

Which of the following statements is true?

Accepted Answer

A)  In a sport with wins, losses and draws, a win is considered a mutually exclusive event. 
B)  In a sport with wins, losses and draws, a win is considered an independent event from a loss. 
C)  In a casino, roulette allows you to beat the House in the long run as long as you have enough money. 
D)  In a casino, when the probability of winning favors the House, then the gambler's fallacy is at play. 
A)  In a sport with wins, losses and draws, a win is considered a mutually exclusive event. 
B)  In a sport with wins, losses and draws, a win is considered an independent event from a loss. 
C)  In a casino, roulette allows you to beat the House in the long run as long as you have enough money. 
D)  In a casino, when the probability of winning favors the House, then the gambler's fallacy is at play.

Question 7

The law of large numbers is a fallacy that results in an overestimation of the frequency of extreme outcomes.

Accepted Answer

A) True 
 B)False

Question 8

Define the gambler's fallacy and give an example of how it can lead to a wrong conclusion.

Accepted Answer

Define: The wrong belief that

Question 9

The theoretical probability of drawing two black cards simultaneously from a deck of poker cards is:

Accepted Answer

A)  25% 
B)  75% 
C)  100% 
D)  50% 
A)  25% 
B)  75% 
C)  100% 
D)  50%

Question 10

On tossing a coin, the probability of obtaining an outcome of HHHHHH is smaller than the probability of obtaining an outcome of HTHHHT.

Accepted Answer

A) True 
 B)False

Question 11

Consider the 12 face cards in a deck (king, queen and jack). What is the probability of obtaining a spade on the first draw? Explain, or show, how you got the answer.

Accepted Answer

The probability is 0.25. There

Question 12

When two events are mutually exclusive, it means that when one occurs, the other event cannot occur.

Accepted Answer

A) True 
 B)False

Question 13

For the empirical probability of roulette outcomes to approach the theoretical probability, the number of trials has to be approaching infinity. This is also known as:

Accepted Answer

A)  The gambler's fallacy 
B)  The law of large numbers 
C)  The universal set 
D)  Inferential statistics 
A)  The gambler's fallacy 
B)  The law of large numbers 
C)  The universal set 
D)  Inferential statistics

Question 14

The probability of obtaining two sixes after rolling two dice is the same regardless of whether you roll the dice sequentially or simultaneously.

Accepted Answer

A) True 
 B)False

Question 15

What is the probability that when drawing a card at random from the deck, it will not be the King of Clubs?

Accepted Answer

A)  98% 
B)  95% 
C)  92% 
D)  90% 
A)  98% 
B)  95% 
C)  92% 
D)  90%

Question 16

When calculating the probability of obtaining a tail after a toss of a coin, the denominator of the formula is the number of events in a universal set.

Accepted Answer

A) True 
 B)False

Question 17

In a deck of 52 cards, what is the probability of drawing either a two or a three on the first draw?

Accepted Answer

A)  8% 
B)  64% 
C)  0.6% 
D)  15% 
A)  8% 
B)  64% 
C)  0.6% 
D)  15%

Question 18

Lenard studies the relationship between aggressive behavior and finger length. He hypothesizes that the relative length of the index finger to the ring finger predicts aggression. The length of the population of human index finger can be considered the _________________ , while the sample length of the index finger measured from 10 of Lenard's volunteer participants is the _____________.

Accepted Answer

A)  subset; universal set 
B)  universal subset; semiset 
C)  semiset; universal subset 
D)  universal set; subset 
A)  subset; universal set 
B)  universal subset; semiset 
C)  semiset; universal subset 
D)  universal set; subset

Question 19

How many events are there in a single toss of a coin?

Accepted Answer

A)  0 
B)  0.5 
C)  1 
D)  2 
A)  0 
B)  0.5 
C)  1 
D)  2

Question 20

An empirical set is a set of theoretical predictions.

Accepted Answer

A) True 
 B)False

In a set of 3 possible events that are mutually exclusive, what is the probability of two different events occurring together?

Inferential statistics allow you to evaluate whether a hypothesis is true or false.

Freddie tosses a fair coin 3 times and gets T T T. What is the probability of obtaining tails if he tosses the coin for the fourth time?

In a deck of 52 cards, what is the probability of not drawing a five on the first draw?

In the law of large numbers, the "large numbers" refers to anything larger than 100.

Which of the following statements is true?

The law of large numbers is a fallacy that results in an overestimation of the frequency of extreme outcomes.

Define the gambler's fallacy and give an example of how it can lead to a wrong conclusion.

The theoretical probability of drawing two black cards simultaneously from a deck of poker cards is:

On tossing a coin, the probability of obtaining an outcome of HHHHHH is smaller than the probability of obtaining an outcome of HTHHHT.

Consider the 12 face cards in a deck (king, queen and jack). What is the probability of obtaining a spade on the first draw? Explain, or show, how you got the answer.

When two events are mutually exclusive, it means that when one occurs, the other event cannot occur.

For the empirical probability of roulette outcomes to approach the theoretical probability, the number of trials has to be approaching infinity. This is also known as:

The probability of obtaining two sixes after rolling two dice is the same regardless of whether you roll the dice sequentially or simultaneously.

What is the probability that when drawing a card at random from the deck, it will not be the King of Clubs?

When calculating the probability of obtaining a tail after a toss of a coin, the denominator of the formula is the number of events in a universal set.

In a deck of 52 cards, what is the probability of drawing either a two or a three on the first draw?

How many events are there in a single toss of a coin?

An empirical set is a set of theoretical predictions.

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters

Exam 7: Basic Probability Theory

In a set of 3 possible events that are mutually exclusive, what is the probability of two different events occurring together?

Inferential statistics allow you to evaluate whether a hypothesis is true or false.

Freddie tosses a fair coin 3 times and gets T T T. What is the probability of obtaining tails if he tosses the coin for the fourth time?

In a deck of 52 cards, what is the probability of not drawing a five on the first draw?

In the law of large numbers, the "large numbers" refers to anything larger than 100.

Which of the following statements is true?

The law of large numbers is a fallacy that results in an overestimation of the frequency of extreme outcomes.

Define the gambler's fallacy and give an example of how it can lead to a wrong conclusion.

The theoretical probability of drawing two black cards simultaneously from a deck of poker cards is:

On tossing a coin, the probability of obtaining an outcome of HHHHHH is smaller than the probability of obtaining an outcome of HTHHHT.

Consider the 12 face cards in a deck (king, queen and jack). What is the probability of obtaining a spade on the first draw? Explain, or show, how you got the answer.

When two events are mutually exclusive, it means that when one occurs, the other event cannot occur.

For the empirical probability of roulette outcomes to approach the theoretical probability, the number of trials has to be approaching infinity. This is also known as:

The probability of obtaining two sixes after rolling two dice is the same regardless of whether you roll the dice sequentially or simultaneously.

What is the probability that when drawing a card at random from the deck, it will not be the King of Clubs?

When calculating the probability of obtaining a tail after a toss of a coin, the denominator of the formula is the number of events in a universal set.

In a deck of 52 cards, what is the probability of drawing either a two or a three on the first draw?

How many events are there in a single toss of a coin?

An empirical set is a set of theoretical predictions.

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Where Am I Normal Distributions and Standard Scores

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters