Lecture 2 Flashcards

1
Q

What’s a population?

A

The entire group of individuals or subjects about which the research wants information

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2
Q

what’s a Parameter

A

Specific characteristics of the population that the researcher wants to determine and make statements about

Typically denoted by Greek letters

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3
Q

What’s µ (mu)

A

The mean of the population

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4
Q

What’s η (eta)

A

the median of the population

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5
Q

What’s σ (sigma)

A

The standard deviation of the population

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6
Q

What’s σ^2 (sigma squared)

A

Variance of the population

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7
Q

What’s π (pi)

A

Proportion of successes in the population

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8
Q

What’s ρ (rho)

A

The correlation between two variables in a population

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9
Q

What’s a hypothesis

A

A statement about a population parameter

a conjecture or guess as to what one thinks the parameter value would be

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10
Q

Why do we need a sample?

A

The population is such that every subject or individual cannot be contacted or measured, & hence the value of the parameter can’t be determined

thus we select a subset of the population, determine the appropriate data for this subset of individuals, and then use this data to make statements about the population of interest

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11
Q

Sample

A

A subset of the population that we examine in order to gather the data required to make statements about the population and parameter of interest

Goal is to have the sample be representative of the population, meaning the characteristics of the population that are important are mimicked in the sample

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12
Q

What’s a statistic?

A

A descriptive measure computed or determined from data in a sample

Generally match identified parameters of interest - can be computed b/c we have sample data statistics

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13
Q

What’s n?

A

n represents the number of subjects in the sample size

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14
Q

What’s x-bar

A

x-bar represents the mean of the sample

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15
Q

What’s M

A

median of the sample

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16
Q

what’s s?

A

standard deviation of the sample

17
Q

what’s s^2?

A

variance of the sample

18
Q

What’s p-hat?

A

proportion of successes in a sample

19
Q

What’s r?

A

sample correlation between two variables

20
Q

What’s a statistical inference?

A

A statement about a population parameter based on statistics computed from data in a sample

Two types: estimation & statistical tests

21
Q

What’s estimation test?

A

We use the sample data to compute a statistic, then this statistic is used to compute a confidence interval that provides a statement about the population parameter

22
Q

What’s statistical test?

A

We make a hypothesis about the parameter, and use the statistics computed from the sample data to test whether or not the hypothesis is logical or not