8 Hypothesis Testing Flashcards

(19 cards)

1
Q

Hypothesis test

A

Statement about the value of a population.

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2
Q

Significance Level and Confidence Level

A

Significance level is the statistical error rate (e.g. 5%)

The confidence level is 1 Less the Significance level

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3
Q

Hypothesis Testing Procedure

A

1) State the hypothesis
2) Select a test statistic
3) Specify the level of signifcance
4) State the decision rule for the hypothesis
5) Collect the sample and calculate statistics
6) Make a decision about the hypothesis
7) Make a decision based on the test results

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4
Q

Two-Tailed Test

A

Use when testing to see if a population parameter is different from a specified value.

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5
Q

One-tailed test

A

Use when testing to see if a parameter is above or below a specified value

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6
Q

Z Statistic

A

(\bar(x) - \mu)/(\sigma / (n^.5)

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7
Q

t-statistic

A

(\bar(x) - \mu)/(s/ (n^.5)

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8
Q

Type 1 error

A

Rejecting a true null hypothesis

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9
Q

Type 2 error

A

Failing to reject the false null hypothesis

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10
Q

p-value

A

The smallest level of significance at which the null can be rejected

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11
Q

Types of hypothesis tests: Value of a population mean

A

Use a t-test or z-test if sample size is large enough.

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12
Q

Types of hypothesis tests: Equality of two population means

A

Use a t-test

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13
Q

Types of hypothesis tests: Population Variance

A

Chi-square test

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14
Q

Types of hypothesis tests: Two population variances

A

F-test

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15
Q

Difference between means: Test Statistic

A

[\bar(x1) - \bar(x2)] - [\mu(x1) - \mu(x2)]/[s^2/n1 - s^2/n2]^.5

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16
Q

Chi-square test statistic

A

X^2 = (n-1)S/\sigma^2

17
Q

F-test statistic

A

F = S1^2/S2^2
df are n -1

18
Q

Parametric

A

Based on assumptions about population distributions and population parameters

19
Q

Non-parametric tests

A

Assumptions about the population distribution and test things other than parameter values