Review Quiz: Data Science

Review Quiz: Data Science

10th Grade

15 Qs

quiz-placeholder

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Review Quiz: Data Science

Review Quiz: Data Science

Assessment

Quiz

Mathematics

10th Grade

Medium

CCSS
6.NS.C.6A

Standards-aligned

Created by

Hannah Pendleton

Used 2+ times

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15 questions

Show all answers

1.

MATCH QUESTION

1 min • 1 pt

Match the following

Data that can be ordered but not measured

Ordinal

Descriptive data that can be observed but not measured

Numeric/Quantitative

Data that can be divided into distinct categories

Categorical

Data that can be counted or measured

Qualitative

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Look at the information for the following data sets. What is the best way to describe the data set? Case: Person Attributes: Favorite Ice Cream Flavor

Quantitative

Qualitative

Categorical

Ordinal

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Look at the information for the following data sets. What is the best way to describe the data set? Case: Day Attributes: Daily High Temperature

Quantitative

Qualitative

Categorical

Ordinal

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Look at the information for the following data sets. What is the best way to describe the data set? Case: Demolition Derby Video Game Cars Attributes: Slow, Medium, Fast, Super

Quantitative

Qualitative

Categorical

Ordinal

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Look at the information for the following data sets. What is the best way to describe the data set? Case: Person Attributes: Have you Traveled Outside the County (yes/no)

Quantitative

Qualitative

Categorical

Ordinal

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Look at the information for the following data sets. What is the best way to describe the data set? Case: Person Attributes: Post High School Plans (Work, Trade School, College, Apprentice Program)

Quantitative

Qualitative

Categorical

Ordinal

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Look at the information for the following data sets. What is the best way to describe the data set? Case: Cars Attributes: Color

Quantitative

Qualitative

Categorical

Ordinal

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