Stats III Flashcards

1
Q

What is a sampling distribution?

A

Distribution of means of samples

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2
Q

What does it mean for a statistic to be an unbiased estimate of a parameter?

A

equal to population parameter

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3
Q

The is the type I (alpha) error?

A

Accept Ha, reject H0 when H0 is true

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4
Q

What is the type II error?

A

Accept H0 when Ha is true

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5
Q

What is the difference between a statistic and parameter?

A

Parameter = info about whole population

Statistic = info from a sample of a population

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6
Q

The standard deviation of the sampling distribution = ?

A

SD of sampled pop / n^.5

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7
Q

What is the standard error of the mean?

A

Standard deviation of sample of means

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8
Q

Standard normal distribution is centered around what? What is the SD?

A

0

with SD = 1

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9
Q

What is a Z score?

A

Difference between sample mean and population mean, divided by standard error

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10
Q

When n is sufficiently large, what are the values of mew(xbar) and sigma(xbar)?

A
mew(xbar) = mew
Sigma(xbar) = sigma/n^.5
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11
Q

What is the equation for calculating a confidence interval?

A

x(bar) + z(sigma) : z = z score, sigma = SD of sample means

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12
Q

90% confident Z score is what?

A

1.645

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13
Q

95% confidence Z score is what?

A

1.96

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14
Q

99% confidence Z score = ?

A

2.58

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15
Q

What is the equation of the margin of error?

A

Z(sample SD) = SE

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16
Q

What is a statistical hypothesis?

A

Statement about the numerical value of a population parameter

17
Q

What is the difference between testing one vs two tails?

A

one tail means mew does not equal some value

Two tail means that mew is greater than or less than some value

18
Q

How many samples are used in observational studies?

A

1

19
Q

How many samples are used in clinical trials?

A

2+

20
Q

What is a test statistic?

A

Sample statistic computed from information provided in a sample

21
Q

What is the rejection region?

A

Area beneath a bell curve where the null hypothesis is true

22
Q

How do you know to reject or accept the null hypothesis?

A

if p value >= alpha, then do not reject null

23
Q

What is the p value?

A

The probability of observing a value of the test statistic that is at least as contradictory to the null