Worksheets1. Statistics
Total questions: 32
Worksheet time: 16mins
_________ is any information in raw or organized form using alphabets, numbers or symbols that refers to or represents preferences, ideas, objects, traits, categories etc.
DATA
QUALITATIVE DATA
QUANTITATIVE DATA
_________ is a categorical measurement expressed not in terms of numbers, but rather by means of a natural language description.
DATA
QUALITATIVE DATA
QUANTITATIVE DATA
_________ is a numerical measurement expressed not by means of a natural language description, but rather in terms of numbers.
DATA
QUALITATIVE DATA
QUANTITATIVE DATA
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.
VARIABLE
DISCRETE VARIABLE
CONTINUOUS VARIABLE
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.
VARIABLE
DISCRETE VARIABLE
CONTINUOUS VARIABLE
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.
VARIABLE
DISCRETE VARIABLE
CONTINUOUS VARIABLE
Deals with descriptions.
Data can be observed but not measured.
Colors, Texture, Smells, Tastes, Appearance, Beauty, Etc.
Qualitative Quality
Qualitative Data
Quantitative Data
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
Qualitative Data
Quantitative Data
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.
Qualitative Data
Quantitative Data
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
Qualitative Data
Quantitative Data
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.
SCALE OF MEASUREMENT
Nominal Scales
Ordinal Scales
Interval Scales
Ratio Scales
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.
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
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.
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
Sometimes numbers are used to designate category membership
Example: Country of Origin
1 = United States 2 = Mexico
3 = Canada
4 = Other
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
There are distinct classes but these classes have a natural ordering or ranking. The difference can be ordered on the basis of magnitude.
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
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.
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
Does not assume that the intervals between numbers are equal
For Example
Finishing place in a race (1st place, second place)
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
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.
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
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!
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
It is the highest level for measurement This level has all the three attributes:
Magnitude Equal Interval
Absolute Zero Point
It represent continuous values
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
Biophysical Parameters
Weight
Height
Volume
Blood Pressure
Ratio Scales
Nominal Scales
Ordinal Scales
Interval Scales
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
ORIGIN OF STATISTICS
Statistics Definition by Croxton and Cowden
Functions of Statistics
“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
ORIGIN OF STATISTICS
Statistics Definition by Croxton and Cowden
Functions of Statistics
1.Condensation
2.Comparison
3.Forecasting
4.Estimation
ORIGIN OF STATISTICS
Statistics Definition by Croxton and Cowden
Functions of Statistics
It deals with the collection, Presentation and analysis of data.
Descriptive Statistics
Inferential Statistics
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).
Descriptive Statistics
Inferential Statistics
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.
Descriptive Statistics
Inferential Statistics
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.
Descriptive Statistics
Inferential Statistics
A ______________ is a collection of all possible individuals, objects, or measurements of interest.
Population
Sample
A ___________ is a portion, or part, of the population of interest
Population
Sample
A number describing a whole population (e.g., population mean),
Parameter
Statistic
A number describing a sample (e.g., sample mean).
Parameter
Statistic
