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ENR 2000 - Midterm 1 Review

Authored by Kal Jordan-DeBruin

Mathematics

University

CCSS covered

Used 11+ times

ENR 2000 - Midterm 1 Review
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31 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the giving candy to students impacts the SEI scores I get at the end of the semester.

Which is the independent variable?

Amount of candy

SEI scores

Number of students

Student grades

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the giving candy to students impacts the SEI scores I get at the end of the semester.

Which is the dependent variable?

Amount of candy

SEI scores

Number of students

Student grades

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the amount of candy I give to students impacts the SEI scores I get at the end of the semester.

I measure how many grams of candy I gave. What type of data is this?

Quantitative - continuous

Quantitative - discrete

Categorical

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the amount of candy I give to students impacts the SEI scores I get at the end of the semester.

I measure how many grams of candy I gave. What scale of data is this?

Nominal

Ordinal

Interval

Ratio

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the amount of candy I give to students impacts the SEI scores I get at the end of the semester.

I measure how pieces of candy I gave. What type of data is this?

Quantitative - continuous

Quantitative - discrete

Categorical

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the amount of candy I give to students impacts the SEI scores I get at the end of the semester.

I measure how pieces of candy I gave. What scale of data is this?

Nominal

Ordinal

Interval

Ratio

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

I want to know if the amount of candy I give to students impacts the SEI scores I get at the end of the semester.

I ask students how much candy I gave: too much, just enough, not enough. What type of data is this?

Quantitative - continuous

Quantitative - discrete

Categorical

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