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1. Statistics

Total questions: 32

Worksheet time: 16mins

Name
Class
Date
1.

_________ is any information in raw or organized form using alphabets, numbers or symbols that refers to or represents preferences, ideas, objects, traits, categories etc.

a)

DATA

b)

QUALITATIVE DATA

c)

QUANTITATIVE DATA

2.

_________ is a categorical measurement expressed not in terms of numbers, but rather by means of a natural language description.

a)

DATA

b)

QUALITATIVE DATA

c)

QUANTITATIVE DATA

3.

_________ is a numerical measurement expressed not by means of a natural language description, but rather in terms of numbers.

a)

DATA

b)

QUALITATIVE DATA

c)

QUANTITATIVE DATA

4.

A characteristic that varies from one observation to the next.


A characteristic that varies with respect to time, place or person is known as variable.


Heights of students of a college.

Prices of calculators in a market.

Ages of workers of a factory.

Blood groups of students of a school.

Incomes of government servants of a city.

Colour of cars on the road.

a)

VARIABLE

b)

DISCRETE VARIABLE

c)

CONTINUOUS VARIABLE

5.

A variable is one that takes only the values in whole numbers within a given interval. A variable represents Count Data.


For Example

Number of a students in a college.

Number of books in a library.

Number of children in a family.

Number of rooms in a school.

a)

VARIABLE

b)

DISCRETE VARIABLE

c)

CONTINUOUS VARIABLE

6.

A Variable is one that can take any value (numerical or fractional) within a given interval. A variable represents measurement data.


For Example

Age of a student.

Temperature at a place.

Weight of a person.

Time it takes to complete a work.

Distance covered by a care.

a)

VARIABLE

b)

DISCRETE VARIABLE

c)

CONTINUOUS VARIABLE

7.

Deals with descriptions.

Data can be observed but not measured.

Colors, Texture, Smells, Tastes, Appearance, Beauty, Etc.

Qualitative Quality

a)

Qualitative Data

b)

Quantitative Data

8.

Deals with numbers.

Data which can be measured.

Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc.

Quantitative Quantity

a)

Qualitative Data

b)

Quantitative Data

9.

Oil Painting


Blue, Green Color, Gold frame. Smells old and musty.

Texture shows brush strokes of oil paint. Peaceful Scene of the country.

Masterful brush strokes.

a)

Qualitative Data

b)

Quantitative Data

10.

Oil Painting


Picture is 10” by 14”

with frame 14” by 18”

weight 8.5 pounds

surface area of painting is 140 sq. in. cost $300

a)

Qualitative Data

b)

Quantitative Data

11.

Measurement is the process of assigning numbers or labels to objects, persons, states, or events in accordance with specic rules to represent quantities or qualities of attributes.


We do not measure specic objects, persons, etc., we measure attributes or features that dene them.

a)

SCALE OF MEASUREMENT

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

e)

Ratio Scales

12.

There must be distinct classes but these classes have no quantitative properties.

Therefore, no comparison can be made in terms of one category is higher than the other.

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

13.

For Example - there are two classes for the variable gender - males and females.


There are no quantitative properties for this variable or these classes and, therefore, gender is a nominal variable.

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

14.

Sometimes numbers are used to designate category membership


Example: Country of Origin


1 = United States 2 = Mexico

3 = Canada

4 = Other

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

15.

There are distinct classes but these classes have a natural ordering or ranking. The difference can be ordered on the basis of magnitude.

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

16.

For Example - nal position of horses in a thoroughbred race is an ordinal variable. The horses nish rst, second, third, fourth, and so on. The difference between rst and second in not necessarily equivalent to the difference between second and third, or between third and fourth.

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

17.

Does not assume that the intervals between numbers are equal


For Example

Finishing place in a race (1st place, second place)

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

18.

It is possible to compare difference in magnitude, but importantly the zero point does not have a natural meaning.


It captures the properties of nominal and ordinal scales - used by most psychological tests.

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

19.

Example - Celsius temperature is an interval variable. It is meaningful to say that 25 degrees Celsius is 3 degrees hotter than 22 degrees Celsius, and that 17 degrees Celsius is the same amount hotter (3 degrees) than 14 degrees Celsius. Notice, however, that 0 degrees Celsius does not have a natural meaning That is, 0 degrees Celsius does not mean the absence of heat!

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

20.

It is the highest level for measurement This level has all the three attributes:

Magnitude Equal Interval

Absolute Zero Point

It represent continuous values

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

21.

Biophysical Parameters

Weight

Height

Volume

Blood Pressure

a)

Ratio Scales

b)

Nominal Scales

c)

Ordinal Scales

d)

Interval Scales

22.

The word ‘Statistics’ seems to have been derived from the Latin word ‘STATUS’ or the Italian word ‘statista’ or the German word ‘statistik’ each of which means a ‘political state’.

Sir Ronald A Fisher (1890-1962)

The Father of Statistics

a)

ORIGIN OF STATISTICS

b)

Statistics Definition by Croxton and Cowden

c)

Functions of Statistics

23.

“Statistics may be dened as the science of collection, presentation analysis and interpretation of numerical data from the logical analysis."


1.Collection of Data

2.Presentation of Data

3.Analysis of Data

4.Interpretation of Data

a)

ORIGIN OF STATISTICS

b)

Statistics Definition by Croxton and Cowden

c)

Functions of Statistics

24.

1.Condensation

2.Comparison

3.Forecasting

4.Estimation

a)

ORIGIN OF STATISTICS

b)

Statistics Definition by Croxton and Cowden

c)

Functions of Statistics

25.

It deals with the collection, Presentation and analysis of data.

a)

Descriptive Statistics

b)

Inferential Statistics

26.

It Deals with the conclusions drawn about an entire set of data (i.e population) using only a part of such data (i.e sample).

a)

Descriptive Statistics

b)

Inferential Statistics

27.

It is that branch of statistics which is concerned with describing the population under study.


Organize, analyze and present data in a meaningful way.


Charts, Graphs and Tables


To describe a situation.


It explains the data, which is already known, to summarize the sample.

a)

Descriptive Statistics

b)

Inferential Statistics

28.

It is a type of statistics, that focuses on drawing conclusions about the population, on the basis of sample analysis and observation.


Compares, test and predictor date.


Probability


To explain the changes of occurrence of an event.


It attempts to reach the conclusion to learn about the population, that extends beyond the data available.

a)

Descriptive Statistics

b)

Inferential Statistics

29.

A ______________ is a collection of all possible individuals, objects, or measurements of interest.

a)

Population

b)

Sample

30.

A ___________ is a portion, or part, of the population of interest

a)

Population

b)

Sample

31.

A number describing a whole population (e.g., population mean),

a)

Parameter

b)

Statistic

32.

A number describing a sample (e.g., sample mean).

a)

Parameter

b)

Statistic