Statistics final exam

Question 1

population parameter

Answer 1

an entire population

Question 2

what is the difference bwteen sample and populaton

Answer 2

population is the entire group you want to draw conclusions about and a sample is the specific group you will collect data from

Question 3

what percent is belle shaped within 2 standard deviations around the arithmetic mean

Answer 3

95%

Question 4

what is another name for the mean of a probability distribution

Answer 4

expected value

Question 5

in a binomial distribution was is a event of interest sometimes called

Answer 5

success

Question 5

in its standardized form the normal distribution____

Answer 5

has a mean of 0 and a standard deviation of 1

Question 6

why is the central limit theorem important in statistics

Answer 6

for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population.

Question 7

The t-distribution is especially important when analyzing

Answer 7

A mean from a very small sample

Question 8

T OR F Holding the level of confidence fixed, increasing the sample size will lead to a wider confidence interval

Answer 8

false

Question 9

A Type I error is committed when

Answer 9

you reject a null hypothesis that is true.

Question 10

T OR F= The larger the p-value, the more likely you are to reject the null hypothesis.

Answer 10

false

Question 11

A Type II error is committed when

Answer 11

you don’t reject a null hypothesis that is false.

Question 12

The power of a test is measured by its capability of

Answer 12

rejecting a null hypothesis that is false.

Question 13

If the p-value is low, the null hypothesis must go.

Answer 13

true