AP Stats - Inference Proportions 1

The image is the one sample z confidence interval formula for proportions with values from a study.

WHAT IS THE POINT ESTIMATE?

• 0.46

• 1.96

• 
• 

The image is the one sample z confidence interval formula for proportions with values from a study.

WHAT IS THE MARGIN OF ERROR?

• 0.46

• 1.96

• 
• 

The image is the one sample z confidence interval formula for proportions with values from a study.

WHAT IS THE STANDARD ERROR?

• 0.46

• 1.96

• 
• 

The image is the one sample z confidence interval formula for proportions with values from a study.

THE CONFIDENCE LEVEL TO THE NEAREST % is ___ %

The image is the one sample z confidence interval formula for proportions with values from a study.

WHAT IS THE CRITICAL VALUE?

• 0.46

• 1.96

• 
• 

Which of the following is NOT a condition you check for a one sample z test for proportions for an observational study?

• n x p >= 10

• You used random sampling

• the sample size is less than 10% of the population size

• n >= 30

Which of the following is NOT a condition you check for a one sample z test for proportions for an EXPERIMENT?

• n x p >= 10

• You used random assignment

• the sample size is less than 10% of the population size

• n(1-p) >=10

Which of the following is/are TRUE about a TYPE 1 error (select all)?

• the Ho is correcct

• the data collected provide significant evidence in favor of the Ha

• The probability of a type 1 is alpha.

• If you FAIL TO REJECT Ho, then you might have a type 1 error.

Which of the following is/are TRUE about a TYPE 1 error (select all)?

• It happens when you reject a Ho that was correct

• You can lower the chance of type 1 by decreasing your alpha

• You can lower the chance of a type 1 by increasing your sample size.

• If you REJECT THE NULL HYPOTHESIS, you might have a type 1 error.

Which of the following is/are TRUE about a TYPE 2 error (select all)?

• It happens when you reject a Ho that was correct

• You can lower the chance of type 2 by INCREASING your alpha

• You can lower the chance of a type 2 by increasing your sample size.

• If you REJECT THE NULL HYPOTHESIS, you might have a type 2 error.