Distribution Of Means Flashcards

1
Q

Can u use the regular z formula when hypothesis testing with samples?

A

No because we want to compare a sample to a population not just one score

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2
Q

What do we want to decide about a sample from a population

A

Whether it belongs to or the probability it has come from the population

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3
Q

What is a sampling error

A

Any one sample will not exactly tell us the mean of a population

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4
Q

What is sampling variability?

A

No two samples from a population will have exactly the same M or SD

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5
Q

Do we want sampling variability?

A

No

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6
Q

How can we minimise sampling variability?

A

By using a largest sample size

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7
Q

Is the mean of the distribution of means the same as the population mean?

A

Yes

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8
Q

Is a specific sample mean the same as a population mean?

A

No

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9
Q

What can make the mean of the distribution of means closer to the population mean?

A

The greater the number of sample means that are drawn

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10
Q

What is om2

A

Variance of the distribution of means

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11
Q

What is o2

A

Variance of the population

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12
Q

What is n

A

Number of scores in each sample

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13
Q

What is the standard error of the main?

A

The standard deviation of the distribution of means

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14
Q

What does standard error show?

A

How much variability our sample mean would have around the true population mean

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15
Q

What is oM

A

Standard error

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16
Q

What happens when N increases?

A

There is a decrease in error

That can also be an increase in power

17
Q

What is a point estimate

A

A calculation where a sample statistic is used to estimate an unknown population parameter

18
Q

What is the confidence interval

A

An estimate of a range of possible means that are likely to include the population mean

19
Q

What are the confidence limits

A

The upper and lower ends of the confidence interval

20
Q

What is Zm

A

Z calculation used for samples bigger than 1