Lecture 2- Standard error Flashcards

1
Q

How to calculate variance

A

How much each score differs from the mean, squared, sum, divided by n(-1)

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2
Q

What is the standard deviation

A

square root of variance - in a comparative unit of measurement.

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3
Q

Definition of standard error

A

The amount of standardised deviation between the population and the sample- how much the sample mean deviates from the estimated population mean.

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4
Q

How to calculate standard error

A

sample SD/ square root of N

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5
Q

explain the 95% confidence intervals

A

IN a normal distribution 95% of the data falls 2SD away from the mean. They show how much error we have in our sample and where the population mean might fall.

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6
Q

How to calculate the 95% confidence intervals

A

mean =/- (1.96 x SE)

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7
Q

Explain the difference between error bars showing : SD, SE, 95% CI

A

SD= the amount of standardised deviation in your sample,
SE= the amount of deviation between the sample mean and the population mean
95% CI= where the population mean might fall.

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8
Q

WHy does a t value bellow 1 mean there is no effect

A

t values are calculated by dividing the effect by the error.
The effect- is the difference between the two means.
The error- is the amount of standard error in the sample.
Therefore, if your error is larger than your effect then the t value will be bellow 1.

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9
Q

How can you reduce error

A

Have a large sample.

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