### All AP Statistics Resources

## Example Questions

### Example Question #1 : Dependence And Independence

In a standard deck of cards, with replacement, what is the probability of drawing two Ace of Hearts?

**Possible Answers:**

**Correct answer:**

Probability of drawing first ace of hearts:

Probability of drawing second ace of hearts:

Multiply both probabilities by each other:

### Example Question #1 : Dependence And Independence

A fair coin is flipped three times and comes up heads each time. What is the probability that the fourth toss will also come up heads?

**Possible Answers:**

**Correct answer:**

Remember, no matter what the previous trials' results, the probability of a head (or tail) does not change from because each trial is independent of the others.

### Example Question #2 : How To Identify Independent Variables

What is the probability that a person will flip a coin and land on heads eight times in a row? Assume that the coin is fair and can either land on heads or tails.

**Possible Answers:**

1 out of 128

1 out of 512

It is not possible to flip a coin and land on heads ten times in a row.

1 out of 64

1 out of 256

**Correct answer:**

1 out of 256

In this problem, it is important to identify that flipping a coin is an independent event. One coin flip does not affect the next coin flip. In each flip, there is a 50% chance of landing on heads and a 50% chance of landing on tails. By multiplying the probabilities with each other eight times, we get the following:

### Example Question #3 : How To Identify Independent Variables

A dice is rolled four times in a row. What is the probability that every one of the four rolls will result in a result greater than 2? Assume the dice is fair and has six sides.

**Possible Answers:**

16 out of 81

75 out of 80

25 out of 30

4 out of 6

2 out of 3

**Correct answer:**

16 out of 81

In this problem, each roll of the dice is independent from the previous roll. The probability of obtaining a result of greater than 2 on a single roll is 4/6 or 2/3 (since 3, 4, 5, and 6 are all greater than 2). In order to find the probability that this occurs four times in a row, we must multiply the following:

### Example Question #1 : How To Identify Independent Variables

Four people are playing a card game and each of them has their own 52-card deck that has been randomly shuffled.

What is the probability that all four of the individuals will draw a face card at random?

**Possible Answers:**

81 out of 28561

6000 out of 100000

1 out of 52

9 out of 52

12 out of 52

**Correct answer:**

81 out of 28561

Since each deck of cards is separate and only one card is being drawn from each deck, the events are independent of each other. The probability of drawing a single face card (Jacks, Queens, or Kings) from a deck of cards is 12/52. We can multiply the probabilities as follows:

### Example Question #5 : Independent Random Variable Combination

A dice is rolled five times in a row. Each time, a 6 is rolled. What is the probability that a 6 will be rolled on the sixth roll? Assume that the dice is fair and has six sides.

**Possible Answers:**

The answer cannot be determined with the information given.

**Correct answer:**

Regardless of the previous results of the dice rolls, the probability of each individual dice roll remains the same. Each time the dice is rolled, there is a 1/6 chance that it will land on a specific number. Therefore, there is a 1/6 chance that the dice will roll a 6 on the sixth roll.

### Example Question #6 : Independent Random Variable Combination

A coin is tossed 100 times and each time, the coin lands on tails. What is the expected probability of the coin landing on tails if it is rolled an infinite number of times? Assume that the coin is fair and has two sides - heads and tails.

**Possible Answers:**

**Correct answer:**

According to the Law of Large Numbers, the probability of the coin landing on tails after being rolled an infinite number of times is equal to the probability of the coin landing on tails in an individual roll: 50%.

### Example Question #7 : Independent Random Variable Combination

A student is conducting different experiments that include the rain fall totals in his town, the change in temperature, the tidal levels on the beach, and the humidity. These will all be measured over the next couple of months to figure out the current trends. What would the independent event be in these experiments?

**Possible Answers:**

Tidal levels in feet

Temperature in degrees

Rain fall in inches

Humudiity percentage

Time in hours

**Correct answer:**

Time in hours

Time is the independent variable as time is not affected by the other variables but the other variables all change as time lapses.