Lesoon 1, 2 : Introduction To Statistics

Question 1

is a branch of mathematics that deals with the collection, organization, presentation, and characterization of information to assist in data analysis and in decision making process.

Answer 1

Statistics

Question 2

The word statistics was taken from the Italian word that means

Answer 2

State

Question 3

refers to the data gathering.

This involves acquiring of information through field questionnaires, interviews, experimentations, objective observations, tests or examinations and other forms of data generation.

Answer 3

Collection

Question 4

is simply organizing or summarizing the given information. This can be in narrative, tabular or in graphical form.

Answer 4

Presentation

Question 5

refers to the use of appropriate statistical methods to the given data set.

This will be the basis of obtaining necessary findings or definite information about the data.

Answer 5

Analysis

Question 6

is the process of making conclusions based on the analyzed data set.

Answer 6

Interpretation

Question 7

concerned in collecting data related to a topic of interest, presenting, summarizing and characterizing the set of data by means of numerical descriptors.

Answer 7

DESCRIPTIVE STATISTICS

Question 8

concerned in analyzing and interpreting the values that resulted from the descriptive techniques and then using them to make decisions.

Answer 8

INFERENTIAL STATISTICS

Question 9

It consist of the totality of the observations with which we are concerned.

It is the collection, or set of individuals, objects or measurements whose characteristics are to be analyzed.

It is considered fully defined.

It is considered fully defined when its list of elements is specified.

Answer 9

Population

Question 10

It is a subset of a given population.

It consists of the individuals, objects or measurements selected by the sample collector from the population.

Answer 10

Sample

Question 11

A characteristic of interest about each element of the population or sample.

Answer 11

Response Variable (or simply variable)

Question 12

A numerical measurement describing a characteristic of a population.

Answer 12

Parameter

Question 13

Various names for parameters are represented by Greek letters, such as the Greek letter (_____) which denotes the population mean

Answer 13

mu

Question 14

A planned activity whose results yield a set of data.

Answer 14

Experiment

Question 15

These refer to the value of the response variable associated with the element of a population or sample.

These may also refer to the set of values collected belonging to the sample.

Answer 15

Data

Question 16

are those that can only assume values that manifest the concept of attributes.

No computations can be done in this kind of data since they cannot be added, subtracted, multiplied or divided. Common examples of these kinds of data are gender, marital status and nationality.

Answer 16

Qualitative data

Question 17

are those that are numerical in nature.

Data obtained by counting or measuring are good examples of quantitative data. Furthermore, basic mathematical operations such as addition, subtraction, multiplication and division can be used in this kind of data. Particular examples are test scores, height and weight.

Answer 17

Quantitative data

Question 18

are variables can take on a finite number of distinct values. Examples are

Answer 18

Discrete Random Variables

Question 19

are random variables that take an interminably uncountable number of potential values, regularly measurable amounts.

Answer 19

Continuous Random Variables

Question 20

Examples of discrete random variables

Answer 20

number of heads acquired while flipping a coin three times,

the number of kin an individual has,

the number of students present in a study hall at a given time, and so forth.

Question 21

Example of continuous random variables

Answer 21

the height or weight of an individual,

the time an individual takes for an individual to wash,

time,

temperature,

item thickness,

length,

age, etc.

Question 22

A variable whose values depend on the outcomes of an experiment

Denoted with a capital letter

It can be discrete or continuous

Answer 22

Random Variable

Question 23

variables that are resulted from an experiment by chance

Answer 23

Random Variables