Chapter 10: Hypothesis Tests

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Basic terminology, single proportion tests, single sigma mean tests
Erin Vales
Flashcards by Erin Vales, updated more than 1 year ago
Erin Vales
Created by Erin Vales about 7 years ago
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Goal of Statistical Inference to use data collected in a sample and statistics computed from this data to make statements about some parameter of the population
Statistical Hypothesis a statement about a population parameter (population mean, population standard deviation, population proportion, etc.)
Null Hypothesis a conjecture about a population parameter that is presumed to be true usually a statement of no effect or no change
Alternative Hypothesis a conjecture about the population parameter that the researcher hopes is true
Test Statistic some quantity calculated from the sample data that we use to assess the strength of the evidence against the null hypothesis
P value the probability, assuming that the null hypothesis is true, that the test statistic takes a value as extreme or more extreme that the value actually observed small p value provides evidence against the null hypothesis
Significant a test that rejects the null hypothesis
Insignificant a test that fails to reject the null hypothesis
Significance level the probability of rejecting the null hypothesis when it is actually true that a researcher is willing to risk denoted by the alpha symbol
Comparing p value to significance level
Significance test for Population Mean **when population standard deviation**
Significance test for Population Mean (cont.) **when population standard deviation is KNOWN**
Significance test for Population Mean **when population standard deviation is UNKNOWN**
Significance test for Population Mean (cont.) **when population standard deviation is UNKNOWN**
Significance test for Population Proportion (pi)
Significance test for Population Proportion (pi) (cont.)
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