Studied by 9 peopleThe ________ is greater than one, increases when sample size decreases.
standard deviation
________: all random samples of the same size n (when large enough), the distribution of Z is approx. normal with mean 0 and variance 1.
Central Limit Theorem
________ has the same general shape as the normal distriution.
T distribution
The ________ must be greater than or equal to 25 to do the t distribution without the normal assumption.
sample size
μ) / (σ * 1/sqrt(n))
Z = (Ȳ
all random samples of the same size n (when large enough), the distribution of Z is approx. normal with mean 0 and variance 1
Central Limit Theorem
when something asks for the probability of "at most two" sum the probabilities for 0, 1, and 2
Note
), it becomes (Z > )
To flip (Z <
Two types of statistical inference
estimation, hypothesis testing
(confidence) divided by 2
Alpha = 1
Margin of error is the same as the...
Confidence interval
T or F: The confidence interval should include the given values in a problem
True
Sigma must switch to ________ when finding the t distribution
S
Sample size and confidence interval are _________ related.
Inversely
We are % confident that the average something for the __________ is within the confidence interval.
Population
The lower the confidence interval percentage is, the ___________ the actual interval becomes.
Narrower
Increasing the sample population makes the confidence interval...
Narrower
If sigma is not given, we must...
Find it
We divide alpha by two because...
There are two sides of the t distribution curve (a lower and an upper) that must be considered
Degree of freedom for a normal distribution
infinity
Note
Flashcard