Hypothesis Testing/Confidence Intervals Flashcards
Confidence Interval for p
a range of plausible values for p
takes the form: phat +- Margin of Error
ME in a confidence interval depends on…
Sampling Distribution
Confidence Interval Statement
We are X% confident than the true proportion of ___ lies between Z and Y.
What does the confidence interval tell us?
That we are using a method that will give us t he right answer X% of the time, not that there is a X% Probability that our confidence interval has P in it
Sample size calculation ask
How big should n be in a C% confidence interval for p so that the margin of error is a certain size?
Hypothesis Testing
A procedure based on sample evidence and probability used to test statements regarding population parameters
Null Hypothesis
Hypothesis of no change or status Quo, Presumed True unless overwhelming evidence to the contrary
Alternative Hypothesis
Hypothesis the researcher is trying to gather information in favor of. To reject the null hypothesis in favor of the alternative, overwhelming evidence must be demonstrated.
Errors in Hypothesis Testing
Rejecting Null H when it is true or not rejecting Null hypothesis when it is false. We have control over these types of errors because we decide what alpha is. Smaller values of a are reserved for situations in which making an error would have a serious consequence
Statistically Significant
When observed results are unlikely under the assumption that the null hypothesis is true then we reject the null hypothesis and we say that the result is statistically significant
Steps for Hypothesis Testing (general)
- Define parameter of interest in context
- State Null
- State Alternative
- Calculate Test Statistic
- Calculate P value
- Make decision
- state conclusions in context
- Check conditions required
T-distribution
is bell shaped like normal distribution, more spread out than normal distribution, indexed by degrees of freedom, as the degrees of freedom approach infinity, the t distribution approaches the normal
Matched Pairs- Dependent random samples, Case CQ
Suppose we have 2 dependent samples from a matched pairs design, we want to estimate the mean difference so we analyze the differences using the one sample T procudte
Independent Random Samples from two populations - Case CQ
Use equations
Analysis of Variance
ANOVA
extension of the two sample t-test