Unit 9: Standard errors and inferences Flashcards

1
Q

the difference between a sample statistic and a population that is due to chance is referred to as

A

sampling error

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2
Q

a sampling distribution of the sample mean is based on taking repeated samples of size n from the same population and plotting the () of the different samples

A

mean

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3
Q

how do we notate the sample means

A

m of mu

if enough samples are taken, it will equal the population mean

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4
Q

how do we denote the standard deviation of the sample means

A
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5
Q

the standard error of the mean (S.E.)

A

the standard deviation of the sample means

as n increases, SE of M decreases

if you dont have the population standard deviation you can use the sample’s

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6
Q

standard error

A

A type of standard deviation
* A measure of the precision of sample mean
* Helps indicate the uncertainty around the estimate of the mean
measurement (more about that next week)
* Tells us how close/precise we are to the population mean

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7
Q

standard deviation

A

describes the variability between individuals in a sample

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8
Q

standard error of the mean

A

describes the uncertainty of how the sample mean represents the population mean

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9
Q

what’s the issue with conflating sd and sem

A

the sem is always less than the sd so it misleads the reader into underestimating the variability between individuals within the study sample

sem is a type of sd- it doesnt tell you the dispersion, it tells you how precise your estimate may be to the population

Just like standard deviation, standard error is a measure of variability. However, the difference is that standard deviation describes variability within a single sample, while standard error describes variability across multiple samples of a population

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10
Q

descriptive stats examples

A

mean, sd, min, max, etc

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11
Q

error bars

A

that’s where descriptive and inferential stats are mixed together

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12
Q

if you want to showcase distribution and spread of data what graphs do you use

A

boxplot or histogram

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13
Q

if youre illustrating potential differences between groups

A

bar plots
bar plots with error bars

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14
Q

what does it mean if error bars overlap

A

When the error bars overlap,
the means represented by the
two bars are probably not that
different.

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15
Q

what does it mean if error bars dont overlap

A

When the error bars don’t
overlap, they may or may not
be that different.

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16
Q

descriptive stats needs sd or se

A

sd

17
Q

inferential stats needs sd or se

A

se

18
Q

why dont we use standard deviation bars for graphing

A

sd tells spread of your data but doesnt show inference