Stat Module 3
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13 Terms
Null hypothesis
a statement of no change, no effect, or no difference (Ho)
Alternative Hypothesis
A statement we are trying to find evidence to support (Ha)
Type 1 error
occurs if the null hypothesis is rejected when it is true
Type 2 error
occurs if the null hypothesis is not rejected when it is false
Steps of hypothesis testing
1- Construct hypotheses
2- Determine Z or T distribution
3- Calculate test statistic
4-use test stat to calculate p-value
5 and 6- Make decision about null hypothesis and interpret
If the p-value is less than or equal to alpha, then you will…
reject Ho
If the p-value is greater than alpha, then you will…
fail to reject Ho
Calculating p-value for a right-tailed test
=1-NORM.DIST(test stat, 0, 1, TRUE)
Calculating p-value for a left-tailed test
=NORM.DIST(test stat, 0, 1, TRUE)
Calculating p-value for a two-tailed test
=2*NORM.DIST(test stat, 0, 1, TRUE)
When is the only time you use T distribution when finding test statistic?
When the sample is small and sigma is unknown
sigma
population standard deviation
what key words can you look for when deciding when its a population proportion problem?
percentage, proportion
