THE STEPS

REJECTION REGION

CONCLUSION

100

making the null and alternative hypothesis, labelling the claim.

step 1

100

we use normalcdf for this method and distribution.

what function do we use for the p-value method for the z distribution?

100

the conclusion statement is based on these two factors:

whether the claim is in the null or alternative hypothesis and whether we reject or fail to reject the null hypothesis.

200

pulling the relevant numbers from the context of the problem and plug them into either the z or t formula.

step 2 - test statistic

200

we use invNorm for this method and distribution.

what function do we use for the traditional method for the z distribution?

200

there is sufficient evidence to support the claim that...

we reject the null with claim in the alternative.

300

comparing the test statistic to the critical value.

step 3 - traditional method

300

we use invT for this method and distribution.

what function do we use for the traditional method for the t distribution?

300

there is not sufficient evidence to reject the claim that...

we fail to reject the null with claim in the null.

400

comparing the p-value to the alpha level.

step 3 - p-value method

400

we use tcdf for this method and distribution.

what function do we use for the p-vlaue method for the t distribution?

400

there is not sufficient evidence to support the claim that...

we fail to reject the null with claim in the alternative.

500

making inferences based on the results of the test.

step 4 - conclusion

500

when the test statistic is in the shaded region or when the p-value is less than alpha.

when do we reject the null hypothesis?

500

there is sufficient evidence to reject the claim that...

we reject the null with claim in the null.