notation (1)
Sample size
what is n
margin of error
what is E
This hypothesis includes the assumed
value of the population parameter and always contains =
what is Ho (Null)
The decision you make when p-value is less than your significance level
what is reject the null?
The core concept of this chapter can be abbreviated as C.L.T.
What is central limit theorem?
The sample mean
what is x-bar
significance level
what is alpha
this opposes the null hypothesis and does not
contain equality
what is Ha. Alternative hypothesis
the decision you make when your p-value is greater than alpha
what is do not reject the null?
The notation for the mean of sample means looks like this
what is μ subscript x-bar?
population mean
what is μ (mu)
sample standard deviation
what is s
The kind of test you use for a proportion
what is a z-test
The kind of test you use when you are testing for a mean and you know the population standard deviation
what is a z-test
Its notation looks like this:
σ/√n
What is the standard deviation of the sample mean (x-bar)?
an example might sound like this:
In a sample of 300 adults, 25% have blue eyes.
what is p - hat
population standard deviation
what is σ (sigma)
A mistake that results in deciding to reject the null when the null is true
what is Type 1 error
The kind of test you use when you are testing for a population mean and you do not know the population standard deviation
what is a t-test?
A distribution using the means
computed from all possible
random samples of a specific size
taken from a population.
What is sampling distribution of the mean?
What is z alpha/2?
the probability of getting a value of
the test statistic that is at least as extreme as
the one representing the sample data,
assuming that the null hypothesis is true.
what is P-value
Increasing alpha increases the possibility of this kind of error
what is type I error
a numerical summary of a dataset that reduces the data to one value that can be used to perform the hypothesis test.
what is a test statistic
This formula was introduced in chapter 5, but you need it in chapter 7.
(b - a) / sqrt(12)
what is the standard deviation of uniform distribution?