Statistical Reasoning Practice Test (SP1-4)

Statistical Reasoning Practice Test (SP1-4)

8th Grade

20 Qs

quiz-placeholder

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Statistical Reasoning Practice Test (SP1-4)

Statistical Reasoning Practice Test (SP1-4)

Assessment

Quiz

Mathematics

8th Grade

Medium

Created by

Norman Mitchell

Used 8+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which choice best describes the data?

nonlinear association

no association

positive association

negative association

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which statement best describes the data?

There is a cluster.

There is an outlier

There is no association.

There is a nonlinear association.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which choice best describes the association between the variables?

negative association

nonlinear association

positive association

no association

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which choice best describes the association between the variables?

negative association

nonlinear association

positive association

no association

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which choice represents a line that best fits the data?

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which best describes the linear model?

The linear model describes the data well because the points are scattered above and below the line.

The linear model does not describe the data well because there are not the same amount of points above the line as below the line.

The linear model does not describe the data well because it does not go through any of the points.

The linear model describes the data well because some of the points are close to the line.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which statement best describes the linear model?

The linear model describes the data well because most the points are below the line.

The linear model describes the data well because the points are not in a straight line.

The linear model does not describe the data well because the points are not in a straight line.

The linear model does not describe the data well because the points are not scattered above and below the line.

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