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Worksheets

Data Science

Total questions: 50

Worksheet time: 31mins

Name
Class
Date
1.

the inputs to a function; the expressions for each argument follow the function name

a)

argument

b)

bar chart

c)

Boolean

d)

box plot

2.

a display of categorical data that uses bars positioned over category values; each bar’s height reflects the count or percentage of data values in that category

a)

bar chart

b)

Boolean

c)

box plot

d)

categorical data

3.

a type of data with two values: true and false

a)

Boolean

b)

box plot

c)

categorical data

d)

contract

4.

the box plot (a.k.a. box-and whisker-plot) is a way of displaying a distribution of data based on the five-number summary: minimum, first quartile, median, third quartile, and maximum

a)

box plot

b)

categorical data

c)

contract

d)

contract error

5.

data whose values are qualities that are not subject to the laws of arithmetic.

a)

categorical data

b)

contract

c)

contract error

d)

data row

6.

a statement of the name, domain, and range of a function

a)

contract

b)

contract error

c)

data row

d)

data science

7.

errors where the code makes sense, but uses a function with the wrong number or type of arguments

a)

contract error

b)

data row

c)

data science

d)

data types

8.

a structured piece of data in a dataset that typically reports all the information gathered about a given individual

a)

data row

b)

identifier column

c)

function

d)

editor

9.

the science of collecting, organizing, and drawing general conclusions from data, with the help of computers

a)

data science

b)

operator

c)

method

d)

purpose statement

10.

a way of classifying values, such as: Number, String, Image, Boolean, or any user-defined data structure

a)

data types

b)

editor

c)

error message

d)

median

11.

the left-most text box in the Editor where definitions for values and functions are written

a)

definitions area

b)

variable

c)

threats to validity

d)

spread

12.

Match the following

a)

domain

1.

the type or set of inputs that a function expects

b)

editor

2.

software in which code can be written and evaluated

c)

error message

3.

information from the computer about errors in code

13.

a sequence of steps that helps people document, test, and write functions

a)

design recipe

b)

header

c)

function

d)

histogram

14.

shows the use of a function on specific inputs and the computation the function should perform on those inputs

a)

example

b)

data row

c)

mean

d)

method

15.

any variable that could impact the "response variable", generally plotted on the x-axis of a scatter plot

a)

explanatory variable

b)

name

c)

mode

d)

data science

16.

the shape of a relationship between two quantitative variables: whether the two variables together vary linearly or in some other way

a)

form

b)

header

c)

histogram

d)

data types

17.

how often a particular value appears in a dataset

a)

frequency

b)

header

c)

data types

d)

data row

18.

a relation from a set of inputs to a set of possible outputs, where each input is related to exactly one output

a)

function

b)

mean

c)

median

d)

mode

19.

code that names a function, lists its variables, and states the expression to compute when the function is used

a)

function definition

b)

quartiles

c)

r

d)

range

20.

a non-random subset of individuals chosen from a larger set, where the individuals belong to a specific group

a)

grouped sample

b)

Boolean

c)

box plot

d)

data row

21.

the titles of each column of a table, usually shown at the top

a)

header

b)

name

c)

outlier

d)

form

22.

a display of quantitative data that uses vertical bars positioned over bins (sub-intervals); each bar’s height reflects the count or percentage of data values in that bin.

a)

histogram

b)

method

c)

mean

d)

example

23.

a column of unique values which identify all the individual rows (e.g. - student IDs, SSNs, etc)

a)

identifier column

b)

method

c)

mode

d)

form

24.

the right-most text box in the Editor, where expressions are entered to be evaluated

a)

interactions area

b)

form

c)

example

d)

domain

25.

summarizes the relationship (if linear) between two quantitative variables

a)

line of best fit

b)

pie chart

c)

quartiles

d)

mode

26.

a type of analysis that models the relationship between two quantitative variables. The result is known as a regression line, or line of best fit.

a)

linear regression

b)

programming language

c)

pie chart

d)

histogram

27.

a representation of the center, or 'typical' value in a set of numbers, calculated as the sum of those numbers divided by the number of values.

a)

mean

b)

median

c)

method

d)

operator

28.

the middle element of a quantitative dataset

a)

median

b)

outlier

c)

operator

d)

r

29.

a function that is only associated with an instance of a data type, which consumes inputs and produces an output based on that instance

(a)  

30.

the most commonly appearing categorical or quantitative value or values in a dataset

(a)  

31.

how we refer to a function or value defined in a language (examples: +, *, star, circle)

a)

name

b)

pie chart

c)

histogram

d)

header

32.

the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.

a)

null hypothesis

b)

mode

c)

r

d)

header

33.

a symbol that manipulates two Numbers and produces a result

a)

operator

b)

outlier

c)

pie chart

d)

predictor function

34.

observations whose values are very different from the other observations in the same data set, perhaps due to experimental error. Outliers can also be indicative of data belonging to a different population from the rest of the established samples.

(a)  

35.

Match the following

a)

a display that uses areas of a circular pie’s slices to show percentages in each category

1.

pie chart

b)

a set of rules for writing code that a computer can evaluate

2.

programming language

c)

a concise, detailed description of what a function does with its inputs

3.

purpose statement

d)

number values for which arithmetic makes sense

4.

quantative data

e)

three values that divide a dataset into four equal-sized groups

5.

quartiles

36.

a function which, given a value from one dataset, makes an educated guess at a related value in a different dataset

a)

predictor function

b)

scatter plot

c)

sample

d)

mode

37.

a number between −1 and 1 that measures the direction and strength of a linear relationship between two quantitative variables (also known as correlation value)

a)

r

b)

range

c)

range of a dataset

d)

outlier

38.

the type or set of outputs that a function produces

(a)  

39.

the distance between minimum and maximum values

a)

range of a dataset

b)

sample

c)

operator

d)

method

40.

the variable in a relationship that is presumed to be affected by the explanatory variable, generally plotted on the y-axis of a scatter plot

a)

response variable

b)

sample

c)

r

d)

quartiles

41.

a set of individuals or objects collected or selected from a statistical population by a defined procedure

(a)  

42.

a display of the relationship between two quantitative variables, graphing each explanatory value on the x axis and the accompanying response on the y axis

a)

scatter plot

b)

r

c)

quartiles

d)

range

43.

The aspect of a dataset - visible in a histogram or box plot - that describes which values are more or less common.

a)

shape

b)

mean

c)

median

d)

mode

44.

lack of balance in a dataset’s shape, arising from more values that are unusually low or high. Such values tend to trail off, rather than be separated by a gap (as with outliers).

a)

skew

b)

range

c)

quartiles

d)

domain

45.

the extent to which values in a dataset vary, either from one another or from the center

a)

spread

b)

symmetric

c)

arguement

d)

contract

46.

Match the following

a)

a number that measures spread of a data set using the typical distance of values from their mean

1.

standard deviation

b)

factors that can undermine the conclusion of a study

2.

threats to validity

c)

a letter or symbol that stands in for a value or expression

3.

variable

47.

using information from a sample to draw conclusions about the larger population from which the sample was taken

a)

statistical inference

b)

sample

c)

programming language

d)

quartiles

48.

A symmetric distribution has a balanced shape, showing that it’s just as likely for the variable to take lower values as higher values.

a)

symmetric

b)

shape

c)

domain

d)

example

49.

errors where the computer cannot make sense of the code (e.g. - missing commas, missing parentheses, unclosed strings)

a)

syntax error

b)

quartiles

c)

r

d)

sample

50.

data scientists can be

a)

anyone

b)

men

c)

women

d)

dogs