Stats Conclusions

When your Hypothesis does not have the effect that was predicted, it is considered

• Null

• Alternative

When your Hypothesis has an effect that was predicted, it is considered

• Null

• Alternative

Given the following example, what kind of Hypothesis do we have?

A real estate agent observes that the average home price in DFW last year was $300,000. She hypothesizes that the average home price has gone up. She then observes that the average home price in DFW this year is $350,000.

• Null

• Alternative: Left Tailed

• Alternative: Right Tailed

Given the following example, what kind of Hypothesis do we have?

A real estate agent observes that the average home price in DFW last year was $300,000. She hypothesizes that the average home price has stayed the same. She then observes that the average home price in DFW this year is $300,000.

• Null

• Alternative: Left Tailed

• Alternative: Right Tailed

Given the following example, what kind of Hypothesis do we have?

A real estate agent observes that the average home price in DFW last year was $300,000. She hypothesizes that the average home price has gone down. She then observes that the average home price in DFW this year is $280,000.

• Null

• Alternative: Left Tailed

• Alternative: Right Tailed

What is a Type I Error?

• When the Null Hypothesis is true and you reject it

• When the Null Hypothesis is true and you fail to reject it

• When the Null Hypothesis is false and you reject it

• When the Null Hypothesis is false and you fail to reject it

What is a Type II Error?

• When the Null Hypothesis is true and you reject it

• When the Null Hypothesis is true and you fail to reject it

• When the Null Hypothesis is false and you reject it

• When the Null Hypothesis is false and you fail to reject it

The owner of a convenience store wants to examine the mean number of customers he has in a week. A Hypothesis Test is made out of this with the Null Hypothesis being 100 customers per week. The test reveals that the average number of customers he has in a week is 132 and he rejects the null hypothesis. What is the conclusion?

• Type I Error

• Type II Error

• Correct Conclusion

The owner of a convenience store wants to examine the mean number of customers he has in a week. A Hypothesis Test is made out of this with the Null Hypothesis being 100 customers per week. The test reveals that the average number of customers he has in a week is 100 and he rejects the null hypothesis. What is the conclusion?

• Type I Error

• Type II Error

• Correct Conclusion

The owner of a convenience store wants to examine the mean number of customers he has in a week. A Hypothesis Test is made out of this with the Null Hypothesis being 100 customers per week. The test reveals that the average number of customers he has in a week is 187 and he fails to reject the null hypothesis. What is the conclusion?

• Type I Error

• Type II Error

• Correct Conclusion

Tags

CCSS.HSS.IC.B.3