### All AP Statistics Resources

## Example Questions

### Example Question #1 : Normal Distribution

Find the area under the standard normal curve between Z=1.5 and Z=2.4.

**Possible Answers:**

0.9000

0.0768

.0586

0.3220

0.0822

**Correct answer:**

.0586

### Example Question #1 : Normal Distribution

Alex took a test in physics and scored a 35. The class average was 27 and the standard deviation was 5.

Noah took a chemistry test and scored an 82. The class average was 70 and the standard deviation was 8.

Show that Alex had the better performance by calculating -

1) Alex's standard normal percentile and

2) Noah's standard normal percentile

**Possible Answers:**

Alex = .778

Noah = .723

Alex = .923

Noah = .911

Alex = .901

Noah = .926

Alex = .855

Noah = .844

Alex = .945

Noah = .933

**Correct answer:**

Alex = .945

Noah = .933

Alex -

on the z-table

Noah -

on the z-table

### Example Question #1 : How To Use Tables Of Normal Distribution

When

and

Find

.

**Possible Answers:**

.81

.68

.76

.61

.72

**Correct answer:**

.72

### Example Question #81 : Statistical Patterns And Random Phenomena

Arrivals to a bed and breakfast follow a Poisson process. The expected number of arrivals each week is 4. What is the probability that there are exactly 3 arrivals over the course of one week?

**Possible Answers:**

**Correct answer:**

### Example Question #1 : Normal Distribution

The masses of tomatoes are normally distributed with a mean of grams and a standard deviation of grams. What mass of tomatoes would be the percentile of the masses of all the tomatoes?

**Possible Answers:**

**Correct answer:**

The Z score for a normal distribution at the percentile is So , which can be found on the normal distribution table. The mass of tomatoes in the percentile of all tomatoes is standard deviations below the mean, so the mass is .

### Example Question #1 : Normal Distribution

Find

.

**Possible Answers:**

**Correct answer:**

First, we use our normal distribution table to find a p-value for a z-score greater than 0.50.

Our table tells us the probability is approximately,

.

Next we use our normal distribution table to find a p-value for a z-score greater than 1.23.

Our table tells us the probability is approximately,

.

We then subtract the probability of z being greater than 0.50 from the probability of z being less than 1.23 to give us our answer of,

.

### Example Question #1 : How To Use Tables Of Normal Distribution

Find

.

**Possible Answers:**

**Correct answer:**

First, we use the table to look up a p-value for z > -1.22.

This gives us a p-value of,

.

Next, we use the table to look up a p-value for z > 1.59.

This gives us a p-value of,

.

Finally we subtract the probability of z being greater than -1.22 from the probability of z being less than 1.59 to arrive at our answer of,

.

### Example Question #1 : Normal Distribution

Gabbie earned a score of 940 on a national achievement test. The mean test score was 850 with a sample standard deviation of 100. What proportion of students had a higher score than Gabbie? (Assume that test scores are normally distributed.)

**Possible Answers:**

**Correct answer:**

When we get this type of problem, first we need to calculate a z-score that we can use in our table.

To do that, we use our z-score formula:

where,

Plugging into the equation we get:

We then use our table to look up a p-value for z > 0.9. Since we want to calculate the probability of students who earned a higher score than Gabbie we need to subtract the P(z<0.9) to get our answer.

### Example Question #1 : How To Identify Characteristics Of A Normal Distribution

Which parameters define the normal distribution?

**Possible Answers:**

**Correct answer:**

The two main parameters of the normal distribution are and . is a location parameter which determines the location of the peak of the normal distribution on the real number line. is a scale parameter which determines the concentration of the density around the mean. Larger 's lead the normal to spread out more than smaller 's.

### Example Question #1 : How To Identify Characteristics Of A Normal Distribution

All normal distributions can be described by two parameters: the mean and the variance. Which parameter determines the location of the distribution on the real number line?

**Possible Answers:**

Variance

Mean

Standard Deviation

Both

**Correct answer:**

Mean

The mean determines where the normal distribution lies on the real number line, while the variance determines the spread of the distribution.