Sampling Flashcards

1
Q

What is the objective of the session?

A

Understanding sampling methodology, preventing sampling error, practicing and applying sampling methodology

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2
Q

What is the difference between Sample and Population?

A

Sample is a subset of the population; Population includes all items of interest

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3
Q

What are the two types of statistical analysis?

A
  • Descriptive Analysis
  • Inferential Analysis
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4
Q

What is a Sampling Frame?

A

Accessible Population from which a sample is drawn

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5
Q

What is Sampling?

A

A subset of the population picked randomly; any item has an equal chance of selection

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6
Q

What is Coverage Error?

A

Certain groups are wrongly included within the sampling frame

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7
Q

What is Nonresponse Error?

A

Not everyone is willing to respond; not enough respondents

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8
Q

What is Sampling Error?

A

Risk that the sample might not be representative of the population

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9
Q

What is Measurement Error?

A

Errors may arise from misunderstood questions or poor experimental design

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10
Q

What are the types of Sampling Methods?

A
  • Simple Random Sampling
  • Systematic Sampling
  • Stratified Sampling
  • Cluster Sampling
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11
Q

How is Simple Random Sampling conducted?

A

Randomly selecting items such that each has an equal chance

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12
Q

Describe Systematic Sampling.

A

Sampling every nth person from a list

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13
Q

What is Stratified Sampling?

A

Dividing the population into strata and sampling from each stratum

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14
Q

What is Cluster Sampling?

A

Dividing the population into clusters and randomly selecting entire clusters

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15
Q

True or False: Sampling Bias occurs when certain groups are excluded from the sample.

A

True

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16
Q

Fill in the blank: The risk that your sample might not be representative of your population is known as _______.

A

Sampling Error

17
Q

What is Exploratory Data Analysis?

A

Analyzing data sets to summarize their main characteristics

18
Q

What does Probability refer to in statistics?

A

The measure of the likelihood that an event will occur

19
Q

What is the purpose of Inference in statistics?

A

To make conclusions about a population based on sample data