Confidence Intervals
The range of values within which a population parameter is estimated to lie.
What is a confidence interval?
The initial assumption about a population parameter in a hypothesis test.
What is the null hypothesis?
This test is used to compare the means of two independent groups.
What is a two-sample t-test?
This value is calculated in a hypothesis test to determine the probability of observing the data if the null hypothesis is true.
What is the p-value?
This type of error occurs when we reject a true null hypothesis.
What is a Type I error?
This term describes the middle value of a confidence interval.
What is the point estimate?
This hypothesis represents what we are trying to find evidence for in a hypothesis test.
What is the alternative hypothesis?
This test is used to compare a sample mean to a known population mean.
What is a one-sample t-test?
This term describes the boundary below which we reject the null hypothesis because the evidence is considered strong.
What is the critical value?
This type of error occurs when we fail to reject a false null hypothesis.
What is a Type II error?
The percentage commonly used for a confidence interval, indicating the degree of certainty.
What is 95%?
This value determines whether we reject the null hypothesis; it's compared to the p-value.
What is the significance level (alpha)?
This test is used to compare proportions from two different groups.
What is a two-proportion z-test?
When the p-value is very small, it indicates this about the null hypothesis.
What is strong evidence against the null hypothesis?
The probability of making a Type I error is represented by this symbol.
What is alpha?
This term represents the critical value from a standard normal or t-distribution used in confidence interval calculations.
What is the z-score or t-score?
If the p-value is less than alpha, this action is taken regarding the null hypothesis.
What is reject the null hypothesis?
This test is used to compare means when the data is paired.
What is a paired t-test?
A p-value less than 0.01 indicates this level of evidence against the null hypothesis.
What is strong evidence?
The probability of making a Type II error is represented by this symbol.
What is beta?
Increasing this feature of a sample will decrease the margin of error for a confidence interval.
What is the sample size?
This term describes a mistake made when we reject a true null hypothesis.
What is a Type I error?
This test checks if the sample mean significantly differs from a known population mean when the population standard deviation is unknown.
What is a one-sample t-test?
This term describes how convincing the data is when it leads us to reject the null hypothesis.
What is statistical significance?
This term describes the probability of correctly rejecting a false null hypothesis.
What is power?