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PPGA 503 MIDTERM EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED

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PPGA 503 MIDTERM EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED Observation Captures a characteristic of interest. Data Collection of observations we're interested in. Population total set of subjects of interest Parameter summary measure of population data Sample Subset of the population we have observations for Statistic Summary of the sample data Descriptive statistics summarize and describe data Inferential statistics Make predictions about the population based on what we know about the sample Variable a measurable trait or characteristic that is subject to change under different conditions Interval variable variable with meaningful numeric distance between levels Discrete variable Consists of separate, indivisible categories. No values can exist between two neighboring categories. Continuous variable a quantitative variable that has an infinite number of possible values that are not countable Categorical variable Doesn't have natural or meaningful numeric distance between levels Ordinal variable variable with a natural order (how do you feel about this class? excited, neutral, terrified Nominal variable Has no clear natural ordering Validity Does the measure reflect what we want to measure? Reliability Does the measurement produce consistent observations? Sampling bias non-probability issue with sampling strategy, or overcoverage Response bias anything in a survey design that influences responses (social desirability, working, or interviewer effects) Non-response bias

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PPGA 503 MIDTERM EXAM QUESTIONS AND ANSWERS WITH

COMPLETE SOLUTIONS VERIFIED


Observation

Captures a characteristic of interest.

Data

Collection of observations we're interested in.

Population

total set of subjects of interest

Parameter

summary measure of population data

Sample

Subset of the population we have observations for

Statistic

Summary of the sample data

Descriptive statistics

summarize and describe data

Inferential statistics

Make predictions about the population based on what we know about the sample

Variable

a measurable trait or characteristic that is subject to change under different conditions

Interval variable

, variable with meaningful numeric distance between levels

Discrete variable

Consists of separate, indivisible categories. No values can exist between two

neighboring categories.

Continuous variable

a quantitative variable that has an infinite number of possible values that are not

countable

Categorical variable

Doesn't have natural or meaningful numeric distance between levels

Ordinal variable

variable with a natural order (how do you feel about this class? excited, neutral, terrified

Nominal variable

Has no clear natural ordering

Validity

Does the measure reflect what we want to measure?

Reliability

Does the measurement produce consistent observations?

Sampling bias

non-probability issue with sampling strategy, or overcoverage

Response bias

anything in a survey design that influences responses (social desirability, working, or

interviewer effects)

Non-response bias

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