Lecture 8 Flashcards

1
Q

Define Inference

A

a very good guess

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2
Q

What is Inferential Statistics?

A

Not practical to know mean of a population so we must infer the mean & error of a population
- taking sample data & giving study a certain amount of chance for being right or wrong (use P values)

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3
Q

Define Population (of a study)

A

Set of all individuals of interest in a particular study

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4
Q

Define Sample

A

Set of individuals from a population that are intended to represent the population & are randomly selected

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5
Q

What is a Parameter?
- derived from…?

A

A value that describes a population
- derived from measurements of all individuals in the population

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6
Q

What is a Statistic?
- derived from…?

A

A value that describes a sample
- derived from measurements of individuals in the sample

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7
Q

What are the 2 Solutions to estimate error in a sample?

A

1.) Standard Deviation Correction
2.) Standard Error of the Mean (SEM)

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8
Q

What is Standard Error of the Mean (SEM)?

A

The amount of error that may exist when a random sample mean is used to predict a population mean

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9
Q

What is the equation for SEM?

A

SEm = SD/square root of N

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10
Q

4 reasons why Z Scores are Valuable

A

1.) allow to compare to the normal curve
2.) allow us to make predictions
3.) allow us yo test hypotheses
4.) allow us to understand the risk of being wrong

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11
Q

Is the Standard deviation of a population larger or smaller than that of a sample?

A

Population Standard Deviation is smaller than Standard Deviation of a Sample as there is no “-1” on the N as we do not need to account for the error

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12
Q

What are the percentages of

A
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