lecture 4 Flashcards

Testing statistical hypothesis

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1
Q

Statistical hypothesis

A

is a testable statement with a probability distribution

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2
Q

One sample test (T-Test)

A

Compares the mean of a single sample to a predetermined value.

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3
Q

Null hypothesis for One sample Test (T-test)

A

the sample mean is = to the specified value. the null hypothesis would be that there is no/null/zero difference

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4
Q

Alternative hypothesis for one sample Test(t -test)

A

the sample mean is not = to the specified value. the alt. would be that the sample mean is different from the specific value

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5
Q

Two sample test (t-test)

A

Compares two independent sample means against each each other. (by testing the probability that the difference in the means =0

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6
Q

the null hypothesis (two sample t-test)

A

null hypo: is that both means = 0 which mean that the (mean of sample one - mean of sample 2= 0

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7
Q

the alternative hypothesis ( two sample t-test)

A

alt hypothesis: that the means of the samples are different from each other aka doesn’t = 0 after subtracting

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8
Q

Test statistic

A

is where on the probability
distribution the sample lies

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9
Q

T-score

A

represents how many standard deviations a data point is away from the mean in a t-distribution
Note used: in t-tests.

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10
Q

P-value

A

is the probability of getting a test
statistic of that size or greater

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11
Q

Type I error

A

where you reject the null when it is true (putting an innocent in prison)

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12
Q

type II error

A

when you accept the null but it is false. (letting the guilty go free)

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13
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