Confidence Intervals Mean Use Z or T?

Confidence Intervals Mean Use Z or T?

12th Grade

20 Qs

quiz-placeholder

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Confidence Intervals Mean Use Z or T?

Confidence Intervals Mean Use Z or T?

Assessment

Quiz

Mathematics

12th Grade

Practice Problem

Hard

Created by

Anthony Clark

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20 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

I have sampled 100 students and found that the 95% confidence interval for the mean is:

(7.5, 8.5)

There is a 95% chance that the true mean falls between 7.5 and 8.5

We are 95% confident that the true mean falls between 7.5 and 8.5

There is a 95% probability that my true mean is between 7.5 and 8.5

My margin of error is 95% of the data

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The z-score number used for calculating a 95% confidence interval is:

1.65

1.96

2.58

0.90

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What is the confidence interval being calculated in the image to the left?

90% confidence interval

95% confidence interval

99% confidence interval

35% confidence interval

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which z-value is used for a 95% confidence interval?

1.65

1.96

2.58

2.33

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Why do we use a t-distribution instead of a z-distribution for means?

Because the population standard deviation is UNKNOWN and it accounts for a greater variability present in SMALL samples.

It allows us to decrease the margin of error without increasing our confidence level.

It allows us to use the population standard deviation.

Because the population standard deviation is KNOWN and it accounts for a greater variability present in LARGE samples.

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which z-value is used for a 95% confidence interval?

2.58

1.66

1.96

2.33

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Given a sample standard deviation "5", n=100, and a confidence interval "99%". Solve for the margin of error "E" for the t-distribution (σ unknown). Round your answer to the nearest hundredth.

1.31

0.85

0.99

1.21

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