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Numerical data

Numerical data

Assessment

Presentation

•

Geography

•

1st Grade

•

Practice Problem

•

Hard

Created by

Thomas School

Used 1+ times

FREE Resource

12 Slides • 18 Questions

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Multiple Choice

Question image

Which columns in the dataset are likely to be categorical data?

1

district, apt_floor

2

bedrooms, bathrooms

3

area_m2, price

4

year_built, total_floors

8

Multiple Select

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Select all columns from the dataset that are examples of numerical data.

1

bedrooms

2

district

3

area_m2

4

price

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10

Multiple Choice

What kind of data is in column "bathrooms"?

1

Continous

2

Discrete

11

Multiple Choice

What kind of data is in column "bedrooms"?

1

Continous

2

Discrete

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13

Multiple Choice

Why can't the number of bathrooms in an apartment be a continuous value?

1
The number of bathrooms must be a whole number, making it a discrete value.
2
The number of bathrooms is determined by the size of the apartment.
3
Bathrooms can be counted in decimal form for accuracy.
4
The number of bathrooms can be any value, including fractions.

14

Fill in the Blanks

In the dataset, the number of bedrooms is an example of

data.

15

Multiple Choice

What kind of data is in the column "year_built" ?

1

Continous

2

Discrete

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Multiple Choice

Why is year_built considered a discrete variable?

1

Because it can take any value, including decimals

2

Because it jumps from one whole number to the next and has fixed, separate values

3

Because it is measured and can be continuous

4

Because it is a binary value

18

Multiple Choice

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What kind of data is in the column "elevator" ?

1

Continous

2

Discrete

19

Multiple Choice

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What kind of data is in the column "parking" ?

1

Continous

2

Discrete

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Multiple Choice

Why are elevator and parking considered discrete variables?

1

Because they are measured and can take any value

2

Because they are yes/no values with no numbers in between, representing fixed choices

3

Because they are continuous variables

4

Because they are used for calculations

22

Multiple Choice

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What kind of data is in the column "area_m2" ?

1

Continous

2

Discrete

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Multiple Choice

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What kind of data is in the column "price" ?

1

Continous

2

Discrete

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Fill in the Blanks

Fill in the blank: The variable 'price' is considered

because it can take many possible values, including decimals.

27

Multiple Choice

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Which of the following is an example of continuous data from the dataset?

1

bedrooms

2

area_m2

3

bathrooms

4

parking

28

Multiple Choice

Which functions can you use to analyze the distribution of values for a discrete variable in the given dataset?

1

.min()

2

.mean()

3

.value_counts()

4

.max()

29

Multiple Choice

Which of the following variables from the list can be measured and take any value, including decimals?

1

year_built

2

parking

3

area_m2

4

elevator

30

Fill in the Blanks

Lesson 11 covers the topic of

Data.

pattern-tertiary
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