Mar 15 review

How many degrees of freedom do you have?

σ = 1021,

μ = 181,

n = 16

• 45.25

• 4

• 16

• 15

Which of the following statements about Z and T statistics is FALSE?

• Z requires knowledge of the population standard deviation. T does not.

• T takes sample size into account. Z does not.

• Both Z and T operate off a standard normal distribution.

Which of the follow do you substitute for σ to calculate a confidence interval?

• s/√n

• s

• s/n

t-crit = 2.042, t* = 2.067

• Reject the null hypothesis

• Fail to reject the null hypothesis

• Accept the alternative hypothesis

• Accept the null hypothesis

t-crit = 2.042, t* = 1.97

• Reject the null hypothesis

• Fail to reject the null hypothesis

• Accept the alternative hypothesis

• Accept the null hypothesis

t-crit = 2.042, t* = -2.055

• Reject the null hypothesis

• Fail to reject the null hypothesis

• Accept the alternative hypothesis

• Accept the null hypothesis

Two populations of Howler Monkeys were sampled for different metrics of body size. The null hypothesis was that tail length would be the same in both populations. The study found tail length to differ by 2%, p = 0.065. Which of the following are true if α = 0.05?

• The null hypothesis is accepted.

• The alternative hypothesis is accepted.

• They failed to reject the null hypothesis.

• The alternative hypothesis is false.

A t-test to see if the mean weight of Colombian red howler monkeys is different than the mean weight of Yucatán black howler monkeys is a...

• One-sided, one-sample t-test.

• One-sided, two-sample t-test.

• Two-sided, one-sample t-test.

• Two-sided, two-sample t-test.

A t-test to see if the mean weight of Colombian red howler monkeys is more than 7 kgs is a...

• One-sided, one-sample t-test.

• One-sided, two-sample t-test.

• Two-sided, one-sample t-test.

• Two-sided, two-sample t-test.

A t-test to see if the mean weight of Colombian red howler monkeys is different from 7 kg is a...

• One-sided, one-sample t-test.

• One-sided, two-sample t-test.

• Two-sided, one-sample t-test.

• Two-sided, two-sample t-test.