Conditions
The first condition
What is Random?
When p > alpha
What is failing to reject the null hypothesis?
The first C we start with
What is Choose?
The test name for conducting a Significance Test for a population mean when the population standard deviation is unknown.
What is a one sample t test for a mean
The test name for conducting a Significance Test for a Difference in Means
What is a Two Sample T test for a Difference in Means
The second condition
What is the 10%?
When p < alpha
What is rejecting the null?
The starting prompt for the conclusion
What is assume Ho is true...?
The null and alternative hypotheses for a Significance Test for difference in independent sample means, if we're trying to claim there is a difference from the null
What is
Ho: mu1=mu2
Ha: mu1 is not equal to mu2
The calculator function to conduct a Two Sample T Test for a Difference in Means
What is 2-SampTTest in the test section in the calculator
The third condition
What is Normal/Large Sample?
The claim that we are seeking evidence against
What is the null hypothesis
The value of alpha when no significance level is named
What is 5% or 0.05?
We have a p-value of 0.023 and our significance level is 0.05, make a claim
What is since our p-value of 0.023 is lower than a=0.05, we can reject the null hypothesis
We have a p-value of 0.064 and our significance level is 0.05, make a claim
What is since our p-value of 0.064 is greater than a=0.05, we fail to reject our null hypothesis.
The third condition is not met
What is we proceed with caution?
A null hypothesis means there is...
What is no difference?
The test used for means
What is a t test?
Our sample size is less than 30 in the Normal Condition for a t test, what should we do
What is we have to have either state the original population is normally distributed (given) or graph the sample data to check for outliers or strong skewness
Both populations are under the sample size of 30, what should we do?
What is both populations have to be normally distributed, or one or both graphs for both populations have to have no outliers or no strong skewness