Inferential Statistics Flashcards

1
Q

“How can you tell whether your sample mean is a good estimate of the population mean?”

A

You can calculate the standard error of the mean (SE; sometimes also referred to as SEM)

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2
Q

What is standard error

A

considers the variability in the sample of means drawn from the population

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3
Q

what do smaller SEs suggest and what to larger SEs suggest

A

Smaller SEs suggest you have a relatively accurate estimate of the population mean.
Larger SEs suggest you have a less accurate estimate of the population mean.

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4
Q

what is the equation for standard error

A

SE= SD divided by square root of number of scores

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5
Q

what is a one tailed hypothesis

A

A statement in which the direction of the difference/association is specified

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6
Q

what is a 2 tailed hypothesis

A

A statement in which the direction of the difference/association is not specified

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7
Q

what significance is there if P value is >0.5

A

none
- If p value is below .05 there is significance

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8
Q

what influences power

A

Alpha level (threshold for statistical significance)
Effect Size
Sample size

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9
Q

what is a type 1 error

A

Determined by our alpha-value (a). Typically set at a rate of 0.05 (our significance level)
i.e., we will incorrectly reject the null hypothesis less than 5% of the time

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10
Q

what is a type 2 error

A

Type II Error = False-negative
Relevant when there IS an effect in the population
Determined by our power value (β). Typically set at a rate of 0.80
i.e., we will incorrectly accept the null hypothesis less than 20% of the time

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