Hypotheses
Outcomes & Errors
Tailed-Tests
Calculations
Conclusions
100

What does the symbol Hrepresent?

Null Hypothesis

100

How many outcomes are there in a hypothesis test?

2 outcomes:

Reject the null hypothesis

Fail to reject (support) the null hypothesis

100

How many types of tests are there?

Three:

Left-tailed

Right-tailed

Two-tailed

100

What is the first step of performing calculations in a hypothesis test?

Determine the type of test (right-tailed, left-tailed, two-tailed).

100

What value is considered the "magic number" in statistics? (The value that your p-value must be lower than in order to reject the null hypothesis)

0.05

200

What does the symbol Ha represent?

Alternative Hypothesis

200

What is a Type I error?

Rejecting the null hypothesis when the null hypothesis is actually correct.

200

How do you know if a test is left-tailed?

The alternative hypothesis uses the "less than" symbol (<).

200

What is the second step of performing calculations in a hypothesis test?

Calculating the z-score.

200

You conduct a hypothesis test and calculate a p-value of 0.01.  Would you reject or support the null hypothesis?

Reject the null hypothesis (p-value is less than 0.05).

300

If H0 was M = 3, what would Hbe?

M is not equal to 3.

300

What is a Type II error?

Failing to reject (supporting) the null hypothesis when the null hypothesis was actually incorrect.

300

Ho: Starbucks grande drink is 16 ounces.

Ha: Starbucks grande drink is less than 16 ounces.

Left-tailed

300

What is the third step of performing calculations in a hypothesis test?

Use the z-table to determine the p-value.

300

You conduct a hypothesis test and calculate a p-value of 0.08.  Would you reject or support your null hypothesis?

Support the null hypothesis (p-value is greater than 0.05).

400

Starbucks claims that their grande drinks are 16 ounces.  We want to test if it is actually less.

Ho: Average grande drink is 16 ounces (M = 16).

Ha: Average grande drink is less than 16 ounces (M < 16).

400

Ho: A certain medicine is safe to use.

Ha: A certain medicine is not safe to use.

What is the Type I error?

Rejecting that the medicine is safe, when the medicine is actually safe.

400

Ho: Average test score is 80.

Ha: Average test score is higher than 80.

Right-tailed

400

What is the z-score formula for a mean?

See board.

400

What is a p-value?

Probability of obtaining your sample outcome if the null hypothesis is true.

500

A study shows that 12% of people are left-handed.  We want to test if that study is true. 

Ho: Proportion of left-handed people is 12% (p = 0.12).

Ha: Proportion of left-handed people is not 12% (p is not equal to 0.12).

500

Ho: A certain medicine is safe to use.

Ha: A certain medicine is not safe to use.

Which error is worse to make in this case?

Type II Error:

Supporting that the medicine is safe, when it is actually not safe to use.

500

Ho: A certain medicine is safe to use 95% of the time.

Ha: A certain medicine is not safe to use 95% of the time.

Two-tailed

500

What is the z-score formula for a proportion?

See board.

500

When making your conclusion statements, what should you always provide in order for the conclusion to make sense?

Context!  Relate your conclusion statement back to the original problem.

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