Interpreting and Constructing Confidence Interval

Interpreting and Constructing Confidence Interval

12th Grade

10 Qs

quiz-placeholder

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Interpreting and Constructing Confidence Interval

Interpreting and Constructing Confidence Interval

Assessment

Quiz

Mathematics

12th Grade

Hard

Created by

Anthony Clark

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Find the appropriate critical value and standard error of the sample proportion.

z* = 1.645, SE = 0.0357

z* = 1.96, SE = 0.0114

z* = 1.282, SE = 0.0598

z* = 1.96, SE = 0.1784

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Suppose you wanted to estimate the proportion of people who feel that unemployment compensation should be expanded with 95% confidence to within ±1.5%. Calculate how large a sample you would need.

n = 1,793

n = 3,443

n = 2,078

n = 6,540

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Find the critical t* value for a 95% confidence interval with 8 degrees of freedom.

1.860

2.306

2.262

2.449

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Find the critical t* value for an 80% confidence interval when n = 20.

1.729

1.066

0.860

1.328

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

You want to estimate the mean fuel efficiency of Ford Focus automobiles with 99% confidence and a margin of error of no more than 1 mile per gallon. Preliminary data suggest that σ = 2.4 miles per gallon is a reasonable estimate of the standard deviation for all cars of this make and model. How large a sample do you need?

n = 30

n = 34

n = 39

n = 48

6.

FILL IN THE BLANK QUESTION

1 min • 1 pt

_____ gives an interval of plausible values for a parameter based on sample data.

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The margin of error of an estimate describes how far, at most, we expect the estimate to vary from the true population value. That is, in a C% confidence interval, the distance between the point estimate and the true parameter value will be less than the margin of error in C% of all sample.

False

True

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