EDA

Question 1

Result from making observations either on a single variable or simultaneously on two or more variables

Answer 1

Data

Question 2

Types of data

Answer 2

Primary data
Secondary data
Categorical data
Contonuous data

Question 3

Collected fresh and for the first time and thus happen to be original in character

Answer 3

Primary data

Question 4

Data which have been collected by someone else and which already have been passed through a statistical analysis

Answer 4

Secondary data

Question 5

Is a variable type with two or more categories, take on one of a limited number of possible values

Answer 5

Categorical data

Question 6

Data that can be measured on an infinite scale

Answer 6

Continuous data

Question 7

Process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes

Answer 7

Data collection

Question 8

Process of using diverse analytical methods to review data and arrive at relevant conclusions

Answer 8

Data interpretation

Question 9

Process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making

Answer 9

Data analysis

Question 10

Steps of Data Analysis

Answer 10

Defining the question
Collecting the data
Cleaning the data
Analyzing the data
Sharing your results
Embracing failure
Summary

Question 11

Methods of Data collection

Answer 11

Population
Sample

Question 12

Entire collection of individuals or objects about which information is desired is called the of interest

Answer 12

Population

Question 13

A subset of the population, selected for study in some prescribed manner

Answer 13

Sample

Question 14

Steps in data gathering

Answer 14

Measurement
Representation
Statistical tools to analyze data

Question 15

Data gathering under measurement

Answer 15

Construct
Measurement
Response
Edited response

Question 16

Data gathering under Representation

Answer 16

Target population
Sampling frame
Sample/respondents
Post-survey adjustments

Question 17

Data gathering under statistical tools to analyze data

Answer 17

Statistical tests
Some advance modeling techniques
Some bias reduction techniques
Regression
Discrete choice

Question 18

Three Major Methods of Data Collection

Answer 18

Mail
Telephone
Face to face survey

Question 19

Types of Questionnaire Survey

Answer 19

Stated preference survey
Revealed preference survey

Question 20

types of of stated choice experiment

Answer 20

Conjoint analysis
Contingent valuation method

Question 21

Typically asking participants to choose one alternative from a set of hypothetical alternatives where attributes of alternatives are set by researcher

Answer 21

Conjoint analysis

Question 22

Typically asking participants to answer (monetary) value of some public (non-market) good.

Answer 22

Contingent valuation method

Question 23

The group of elements for which the survey investigator wants to make inferences by using the sample statistics

Answer 23

Target population

Question 24

Lists/procedures intended to identify all elements of a target population or a set of units who are potentially selected as respondents

Answer 24

Sampling frame

Question 25

Sample selected from a sampling frame

Answer 25

Sample

Question 26

Sample who successfully answered

Answer 26

Respondents

Question 27

Two types of Sample Non-response

Answer 27

Item nonresponse Unit nonresponse

Question 28

Respondent refuses to answer one or more survey questions

Answer 28

Item nonresponse

Question 29

Respondents refuses to take the survey at all

Answer 29

Unit nonresponse

Question 30

Handling non-response data by simply excluding the data having item-nonresponse

Answer 30

Procedures with completely recorded units

Question 31

Handling non-response data by excluding the item0missing data, and handle the impacts by changing the weights

Answer 31

Weighting procedures

Question 32

Handling non-response data in a way that the missing values are filled in and the resultant completed data are analyzed by standard methods

Answer 32

Imputation-based procedures

Question 33

Handling non-response data by defining a model for the observed data with a certain missing

Answer 33

Model-based imputation procedures

Question 34

Function gives the frequency of different possible values

Answer 34

Distribution

Question 35

Examples of Single Variable

Answer 35

Histogram Boxplot

Question 36

Examples of data visualization under Categorical-continuous data of Multiple Variable

Answer 36

Point Histogram Boxplot

Question 37

Examples of data visualization under Continuous-continuous data of Multiple Variable

Answer 37

Scatterplot Heatplot

Question 38

Yi=B0 + B1 X1 + ui What are B0 and B1

Answer 38

parameters

Question 39

Yi=B0 + B1 X1 + ui What is ui

Answer 39

error term

Question 40

two types of linear model

Answer 40

Regression analysis Linear Regression

Question 41

For of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (s) (predictor).

Answer 41

Regression analysis

Question 42

The supervised machine learning model in which the model finds the best fit linear line between the independent and dependent variable i.e it finds the linear relationship between the dependent and independent variable

Answer 42

Linear regression

Question 43

Probabilities of occurrence of different possible outcomes

Answer 43

Probability distribution

Question 44

A "bell-shaped" distribution

Answer 44

Normal Distribution

Question 45

A "discrete-probability" distribution

Answer 45

Poisson distribution

Question 46

Confidence interval is calculated from what?

Answer 46

Standard Error

Question 47

Is more intuitive and has clear quantitative implications

Answer 47

Confidence interval

Question 48

Very popular in the old style

Answer 48

p-value

Question 49

The probability to wrongly reject the collect null hypothesis

Answer 49

p-value

Question 50

the 95th confidence interval is not intersected with the zero line

Answer 50

p-value

Question 51

A statistical measure that expresses the extent to which two variables are linearly related (meaning they change together at a constant rate)

Answer 51

Correlation

Question 52

Correlation does not necessarily mean what?

Answer 52

Causation

Question 53

Refers to the claim that a set of observed data are not the result of chance but can instead be attributed to a specific cause. It is a way to tell you if your test results are solid.

Answer 53

Statistical Significance

Question 54

Process of determining the magnitude of statistical variates at some future point of time.

Answer 54

Prediction

Question 55

The process of using correlations between variables to hypothesize about future events and outcomes

Answer 55

Prediction

Question 56

Used to model the relationship between two continuous variables

Answer 56

Simple Linear Regression

Question 57

When to use Simple Linear Regression

Answer 57

Positive relationship Negative relationship Linear relationship Curvilinear relationship

Question 58

Used to model the relationship between a continuous response variable and continuous or categorical explanatory variables

Answer 58

Multiple Linear Regression

Question 59

A statistical test that is used to compare the means of two groups

Answer 59

T-test

Question 60

It is often used in hypothesis testing to determine whether a process or treatment influences the population of interest, or whether two groups are different from one another

Answer 60

T-test

Question 61

A statistical method for testing for differences in the means of three or more groups

Answer 61

One Way - ANOVA

Question 62

Meaning of ANOVA

Answer 62

Analysis of Variance

Question 63

Test that measures how a model compares to actual observed data

Answer 63

Chi-square test