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Authored by Aya Elhabashy

Mathematics

University

CCSS covered

Used 3+ times

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6 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Classify the pair of samples as dependent or independent.

Sample 1: Exam scores for 25 students in Dr. Hana’s morning statistics class.

Sample 2: Exam scores for 28 students in Dr. Hana’s afternoon statistics class.

Dependent

Independent

Tags

CCSS.HSS.CP.A.5

2.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

True or False:

Weights of 40 women recorded before starting a diet and 6 months after starting a diet are considered matched pair (dependent) sample sets.

True

False

Tags

CCSS.HSS.ID.A.4

3.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Jillian is an analyst for a ride sharing app that connects users with drivers. She wonders if drivers in Dallas are more or less likely to cancel rides than drivers in Houston. She takes a random sample of 1000 rides from Dallas and finds that 30 were cancelled. A random sample of 1000 rides from Houston shows 24 cancelled rides.

She used these results to test whether there is a difference in the proportion of cancelled rides between the two cities. The test statistic was z = 0.83 and the P-value was approximately 0.41.

At the α = 0.01 level of significance, is there sufficient evidence to conclude that the proportion of cancelled rides is different between the two cities?

Yes, since the P-value is greater than 0.01.

Yes, since the test statistic is greater than 0.01.

No, since the P-value is greater than 0.01.

No, since the test statistic is greater than 0.01.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

This is the correct formula for finding a z-score for a one proportion hypothesis test.

True

False

Tags

CCSS.HSS.ID.A.4

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Type of test here?

two-sample independent t-test

two-sample dependent t-test (matched pairs)

one-sample t-test

z-test for proportions

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Type of test here?

two-sample independent t-test

two-sample dependent t-test (matched pairs)

one-sample t-test

z-test for proportions

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