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Statistics and Probability

Total questions: 26

Worksheet time: 14mins

Name
Class
Date
1.

Statistics derived from the Latin word “ (a)   ” meaning state.

2.

Is the science of the development of applications of the most effective methods for planning experiments, obtaining data, and then analyzing, interpreting, and drawing conclusions based on the data.

a)

Statistics

b)

Probability

c)

Data collection

d)

Variable

3.

Is branch of mathematics that deals with uncertainty. It is a measure or estimation of how likely it is that an event will occur.

a)

Statistics

b)

Probability

c)

Data collection

d)

Variable

4.

An attribute that describes a person, place, thing, or idea. It is a characteristic that is observable or measurable in every unit of universe.

a)

Statistics

b)

Probability

c)

Data collection

d)

Variable

5.

The process of gathering and measuring information on variables of interest,

in an established systematic fashion that enables one to answer stated research questions,

test hypotheses, and evaluate outcomes.

a)

Statistics

b)

Probability

c)

Data collection

d)

Variable

6.

A _____ is any specific collection of objects of interest.

a)

Population

b)

Sample

c)

Measurement

d)

Parameter

7.

A _____ is any subset or subcollection of the population, including the case that the sample consists of the whole population, in which case it is termed a census.

a)

Population

b)

Sample

c)

Measurement

d)

Parameter

8.

A _____ is any subset or subcollection of the population, including the case that the sample consists of the whole population, in which case it is termed a census.

a)

Population

b)

Sample

c)

Measurement

d)

Parameter

9.

Is a number or attribute computed for each member of a population or of asample. The _____ of sample elements are collectively called the sample data.

a)

Population

b)

Sample

c)

Measurement

d)

Parameter

10.

A _____ is a number that summarizes some aspect of the population.

a)

Population

b)

Sample

c)

Measurement

d)

Parameter

11.

Is the branch of statistics that involves organizing, displaying, and

describing data.

a)

Descriptive statistic

b)

Inferential statistics

12.

Is the branch of statistics that involves drawing conclusions about a

population based on information contained in a sample taken from that population.

a)

Descriptive statistic

b)

Inferential statistics

13.

A bowler wants to find his bowling average for the past 12 games.

a)

Descriptive statistic

b)

Inferential statistics

14.

A housewife wants to determine the average weekly amount she spent on

groceries in the past 3 months.

a)

Descriptive statistic

b)

Inferential statistics

15.

A politician wants to know the exact number of votes he received in the last election.

a)

Descriptive statistic

b)

Inferential statistics

16.

A bowler wants to estimate his chance of winning a game based on his current season averages of

his opponents

a)

Descriptive statistic

b)

Inferential statistics

17.

A housewife would like to predict based on last year’s grocery bills, the average weekly amount she

will spend on groceries for this year.

a)

Descriptive statistic

b)

Inferential statistics

18.

A politician would like to estimate, based on an opinion poll, his chance for winning in the upcoming

election.

a)

Descriptive statistic

b)

Inferential statistics

19.

are measurements for which there is no natural numerical scale, but which

consist of attributes, labels, or other nonnumerical characteristics.

a)

Qualitative Data

b)

Quantitative Data

c)

Discrete Data

d)

Continuous Data

20.

Are numerical measurements that arise from a natural numerical scale.

a)

Qualitative Data

b)

Quantitative Data

c)

Discrete Data

d)

Continuous Data

21.

A variable which can assume finite, or at most countably infinite number of values; usually measured by counting or enumeration; data that can be counted

a)

Qualitative Data

b)

Quantitative Data

c)

Discrete Data

d)

Continuous Data

22.

Avariable which can assume infinitely many values corresponding to a line

interval; values are obtained by measuring.

a)

Qualitative Data

b)

Quantitative Data

c)

Discrete Data

d)

Continuous Data

23.

(LEVELS OF DATA MEASUREMENT AND SCALES)

- of measurement arises when we have variables that are categorical and non-

numeric or where the numbers have no sense of ordering.

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

24.

(LEVELS OF DATA MEASUREMENT AND SCALES)

- also deals with categorical variables like the nominal level, but in this level

ordering is important, that is the values of the variable could be ranked.

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

25.

(LEVELS OF DATA MEASUREMENT AND SCALES)

- a measurement scale that, in addition to ordering scores from highest to lowest, the difference between data points can be quantified.

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale

26.

(LEVELS OF DATA MEASUREMENT AND SCALES)

- also tells us that one unit has so many times as much of the property as does another unit.

a)

Nominal Scale

b)

Ordinal Scale

c)

Interval Scale

d)

Ratio Scale