Significance Tests for Proportions

Significance Tests for Proportions

11th Grade

11 Qs

quiz-placeholder

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Significance Tests for Proportions

Significance Tests for Proportions

Assessment

Quiz

Mathematics

11th Grade

Hard

Created by

Anthony Clark

FREE Resource

11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

About 76% of college professors said that if they could pick a career over again, they would choose to be a professor again. A random sample of 59 college professors in Colorado showed that 47 claim they would choose college teaching again. Does this indicate the proportion of professors in Colorado who would choose the career again is greater than the national rate of 76%? Use a 1% level of significance. 

Do not reject H0 (z = 0.76)

Reject H0 (z = 1.45)

Do not reject H0 (z = 1.45)

Reject H0 (z = 0.6)

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image
A
B
C
D

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A survey of 800 women shoppers found that 17% of them shop on impulse.  What is the 98% confidence interval for the true proportion of women shoppers who shop on impulse? 

0.148 < p < 0.192

0.136 < p < 0.204

0.144 < p < 0.196

0.139 < p < 0.201

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A random sample of 100 WHS students found that 53 of them were in possession of a pencil. What is the p-hat for this sample?

0.53

0.5

0.47

1

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The symbol for the sample proportion is __________.

Zc

E

q

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

It was found that in a sample of 90 teenage boys, 70% of them have received speeding tickets.  What is the 90% confidence interval of the true proportion of teenage boys who have received speeding tickets? 

(0.621, 0.780)

(0.591, 0.812)

(0.584, 0.830)

(0.615, 0.805)

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In a survey of 104 students, it was found that 79 went to the homecoming game this year. Calculate a 99% confidence interval for p.

(0.652, 0.868)

(0.691, 0.829)

(0.678, 0.842(

(0.685, 0.895)

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