Chapter 10 Flashcards
explanation A
the difference between the population mean and the sample mean is real and statistically significant
explanation B
observed difference caused by mere random chance and is not statistically significant
which explanation do we always assume is correct
explanation B because it’s caused by random chance
what is the probability of getting the observed sample outcome
X-bar of the sample mean
When does the central limit theorem apply
when N is greater then or equal to 100
sampling distribution is normally distributed
In order to see where our sample outcome falls on the curve, we need to translate it into
a Z-score called Z-obtained
Since our Z-obtained fell into the critical region we
reject explanation B
What level of measurement is required for a 5-step model with a mean
interval-ratio
3 parts to step one of meeting the test requirements
random sample
level of measurement
normal sampling distribution
2 ways to step 5 of interpret the results
if test falls in the critical region we reject the null hypothesis
if the test doesn’t fall into the critical region we fail to reject the null hypothesis
2 choices in steps 2 and 3
choose either one or two-tailed test
and which alpha level to choose
When do we use a one-tailed test
when the research hypothesis states the population value is less than or greater than
why is it important to choose between a one and two-tailed test
it determines what we do with the critical region under the sampling distribution
3 ways t differs from Z
1.) s instead of σ
2.) √(𝑛−1) rather than √𝑛
3.) t finds areas under the sampling distribution
When do we use Z distribution
when SD is known and n≥ 100
