Lecture 6 Flashcards

1
Q

What is a t-test?

A

Testing the difference of 2 means

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2
Q

What is a one-sample t-test?

A

Is the mean of a given sample significantly different from a pre-selected value?

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3
Q

What is an independent samples t-test?

A

Are the means of 2 independent groups significantly different from one another?

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4
Q

What is a paired samples t-test?

A

Do the means of the same individuals, given 2 different conditions/treatments/ levels of the IV show a difference between conditions? Groups are not independent.

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5
Q

What is the equation to perform a t-test?

A

t= mean of sample-expected value/estimate of standard error

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6
Q

What is standard error?

A

The sample might not perfectly represent the entire population-we get sampling variation- means of different populations vary to some extent. Tells us how spread out or clustered the sample means are

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7
Q

What is a sampling distrubution?

A

Frequency distribution of all samples of means from that population-tends to be normally distributed.

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8
Q

What is the standard deviation of the sampling distribution?

A

Standard Error

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9
Q

What does the mean of the sampling distribution equal?

A

The population mean

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10
Q

What does standard deviation tell us?

A

How representative the mean is of the entire population

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11
Q

How do you calculate standared error?

A

Standard deviation/ Square root of population size

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12
Q

What is the central limit theorum?

A

If the sample is large enough, it will be representative of the population. Larger samples make the distribution narrower and SD becomes smaller. Keeps the same mean

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13
Q

What is the minimum sample size you can have so you can make sure it is representative?

A

25-30

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14
Q

What does SEM show us?

A

How extreme a value can be plausible given sampling variation-if the score is greater or less than what would be plausible based on SEM, then it is said to be significantly different.

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15
Q

What can you not do with independent samples?

A

Random assignment-pre existing information determines the groups (quasi-exerpiment

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16
Q

How do we tell whether equal variances are assumed in an SPSS output?

A

Look at the sig values-if greater than 0.05=no significant differences between groups, variances are assumed equal.