1 Proportion Z Test
This is the symbol for the null hypothesis
What is H0?
This conclusion should be made if the P-value = 0.001
What is "since the P-value is less than any reasonable significance level, we reject the null hypothesis, and conclude there is significance evidence to support the alternative hypothesis"?
This is what you must do if the sample size is less than 30, and the problem does not state that the distribution can be assumed to be normal.
What is create a boxplot?
This is the degrees of freedom you use for a 2-sample t Test.
What is whatever your calculator says?
This error type is also called a "false negative".
What is Type II error?
What is 20?
This special proportion is necessary only in 2-Proportion Z Tests.
What is the combined proportion (pc)?
This is the number of degrees of freedom.
What is n-1?
Compute the p-value for the following:
Let n1=36, n2=41, x1=11.6, x2=10.4, s1=1.8 and s2=2.6. Test the hypothesis H0 : µ1=µ2 against the alternative hypothesis Ha : µ1>µ2.
What is p = .01?
This type of error results in not rejecting the null, when the null hypothesis is in fact false.
What is Type II error?
This is the formula to check the CLT condition.
What is np0>10 & n(1-p0)>10?
Compute the test statistic for the given scenario:
H0: p1=p2
Ha: p1>p2
p1 = 0.5, n1 = 50
p2 = 0.45, n2 = 100
What is z = .579?
This is the formula for a 1-sample t test.
What is t = (x-u0)/(s/Vn)?
This is the a scenario when we would use a pooled test.
What is when we can assume the population standard deviations are equal?
Describe a Type I error in this context:
A certain experimental drug claims a cure rate of at least 75% for males with prostate cancer.
What is that the test finds that the cure rate is greater than 75%, but in fact it is not.
This symbol is used to represent significance level.
What is α (alpha)?
This is another way to write the following hypothesis:
H0: p1 = p2
What is p1-p2=0?
This scenario also uses a 1-sample t test.
What is a matched pairs experiment?
The p-value of any t-test is tied directly to this other number.
What is the degrees of freedom?
This alpha level results in the lowest probability for a Type I error.
What is alpha = 0.01?
This is the general scenario when you should use a 1 Proportion Z Test.
What is testing for a population proportion against a number?
This is why we must use the combined proportion to ensure the conditions for the CLT are met.
What is the assumption that the population proportions are equal?
This is the general scenario for when to use a 1-sample t test.
What is when testing for a population mean, and the population standard deviation is unknown?
What is to ensure independence among the observations in the sample.
These are the 2 ways to increase the power of the test.
What is increase the sample size, and increase the significance level?