STATS HW Chpt 5

¡Supera tus tareas y exámenes ahora con Quizwiz!

The probability of rolling a '4' on one toss of a standard six-sided die AND a '6' on a second toss is:

.028

The probability of rolling a '4' on one toss of a standard six-sided die is:

.167

The probability of a student correctly guessing the answer to this question is:

.25

The probability of rolling a '4' OR a '6' on one toss of a standard six-sided die is:

.333

If 68% of IQ scores are between 85 and 115, what is the probability of meeting a person in the population within that IQ range?

.68

A scientist is interested in the effect of time spent with parents and the number of hours youth spend watching television. The researcher knows that the average teen whose parents work outside the home spends 20 hours a week watching television. The population mean = 20 and the standard deviation of the distribution is equal to 5. Calculate the z-scores for the following individual times: If X = 20, z = __________.

0.00

Which of the following is true of probabilities?

A probability varies from 0 to 1.0

A normal curve:

All of the provided answers. - is used in statistics for making decisions. - is a theoretical ideal or model. - can be used to describe distributions.

A number whose z score is equal to zero is equal to the mean.

True

Fifty percent of the scores fall below the mean in a normal curve.

True

About 95% of the scores in a normal distribution lie between two standard deviations below the mean AND two standard deviations above the mean.

True. Rule of thumb: 68%-95%-99.7%. Focusing with the 95% part: about 95% fall between plus and minus two standard deviations (i.e., on either side of the mean).

Probability is defined as:

(number of times the outcome or event can occur) ÷ (total number of times that any outcome or event can occur)

A scientist is interested in the effect of time spent with parents and the number of hours youth spend watching television. The researcher knows that the average teen whose parents work outside the home spends 20 hours a week watching television. The population mean = 20 and the standard deviation of the distribution is equal to 5. Calculate the z-scores for the following individual times: If X = 5, z = __________.

-3.0

Roughly __________ of the total area under the normal curve rests between the mean and one standard deviation above.

34%

In a symmetrical distribution, what percent of the scores fall above the mean?

50%

A probability distribution has:

a mean and a standard deviation.

The normal curve is:

a theoretical ideal.

Which of the following is true of the normal distribution?

all of the provided answers - The normal distribution is unimodal. - The tails extend indefinitely in either direction. - The normal distribution is symmetrical.

Which of the following is NOT true of the normal curve?

It can be applied to any distribution encountered by a researcher.

Which of the following is NOT true of the normal curve?

It is skewed.

A scientist is interested in the effect of time spent with parents and the number of hours youth spend watching television. The researcher knows that the average teen whose parents work outside the home spends 20 hours a week watching television. The population mean = 20 and the standard deviation of the distribution is equal to 5. Calculate the z-scores for the following individual times: If X = 37, z = __________.

3.40

Roughly __________ of the total area under the normal curve rests between two standard deviations above and below the mean.

95%

A z score does NOT allow for the comparison of different scores from different distributions.

False

A z score tells nothing about the distance of a score from the mean.

False

About 75% of the scores in a normal distribution fall between the mean and three standard deviations above the mean.

False. Rule of thumb: 68%-95%-99.7%. Focusing with the 99.7% part: one-half of 99.7 is about 49.85% between the mean and three standard deviations above the mean.


Conjuntos de estudio relacionados

PSY 341 Chapter 9: Eating Disorders

View Set

Bio - Ch 13 Viruses, Viroids and Prions

View Set