273 E3, pt 2 [15] one sample & dependent t-test

one sample t-test

a _____________ test allows you to test the difference between a distribution of a continuous variable and the “value of interest”

SD

what does a z-test require that a one-sample t-test does not?

n-1

what are the DOF of a one sample t-test?

one sample t-test

example: last year’s athletes had an average bench press of 135 lbs. Is the division stronger this year? — what test should be applied?

the division this year is not different from last year’s athletes.

example: last year’s athletes had an average bench press of 135 lbs. Is the division stronger this year? — what is the null hypothesis?

we fail to reject the null hypothesis. this year’s athletes are not different in strength from last year’s athletes.

example: last year’s athletes had an average bench press of 135 lbs. Is the division stronger this year? the p value is 0.08. what is the conclusion

type II error, sample size

what do you risk committing when you fail to reject the null? what is this determined by?

type I error

what do you risk committing when you reject the null?

two tailed

to avoid bias, one should use a _____ t-test

dependent sample t-test

a ___________ t-test allows you to test the difference between two distributions from the same sample

pre-post

what is a good example of a dependent sample t-test (general)

0

what will the reference value be of a dependent sample t-test?

dependent sample t-test

example: did the division get faster in the 1 mile run over the season? — what test will be run?

there is no difference in the division’s 1 mile pre and post season.

example: did the division get faster in the 1 mile run over the season? — what is the null hypothesis

we reject the null hypothesis, the division got faster over the season

example: did the division get faster in the 1 mile run over the season? t(99) = -29, p <0.001. — what can be concluded?