From the 14-10-13 Experimental Design and Analysis lecture.
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Criado por sophietevans
aproximadamente 10 anos atrás
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Criado por sophietevans
aproximadamente 10 anos atrás
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What is the first step of a hypothesis test?
What is the difference between a one-sided alternative hypothesis and a two-sided alternative hypothesis?
How does one calculate standard deviation?
How does one calculate standard error of the mean?
Once you have null and alternative hypotheses, a mean, a standard deviation, and a standard error, what is the next step in a hypothesis test?
What is the rule for comparison of the test statistic value with the critical value from the New Cambridge Statistical Tables?
How does the test being one-tailed or two-tailed in its alternative hypothesis affect how the critical value is looked up in the normal tables?
What is important to include in a conclusion about a hypothesis test?
How does one calculate the standard error of a percentage/proportion?
When would one use a t value rather than a Z value?
If you had Minitab output for a hypothesis test, how would you check the significance of a test statistic (when manually you would look up critical values)?
How would you write that you've found a t value for a sample size of 7 at the 5% significance level in notation form?
How does one calculate the confidence interval around a percentage? How does this differ from the confidence interval around a mean?
What is the equation for calculating the test statistic (t or Z) when testing if a percentage if compatible with a claimed figure e.g. if a drug reduces symptoms in a certain percentage of a population?
What is a p value?
If a p value is >0.05, what can we do/not do? What can we conclude?
If a p value is <0.05 (or 0.01, or 0.001) what can we do/not do? What can we conclude?
