Hypothesis Testing Flashcards

1
Q

Confidence Intervals

A

An interval in which we are very confident the population proportion lies. Is frequently 95%.

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2
Q

Null Hypothesis

A

Is the hypothesis to be tested. Assumed true until the data indicates otherwise. Typically the null hypothesis assumes no effect.

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3
Q

Alternative Hypothesis

A

Contains all values that would lead us to reject the null hypothesis. If it is rejected we have established support for the alternative hypothesis.

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4
Q

P-value

A

Probability of obtaining a value of the test statistic as large as the one computed from the sample data if the null hypothesis is true. The smaller the P-value, the less likely Ho is to be true and therefore the more evidence there is against it. reject Ho if P<0.05 (5%).

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5
Q

Statistically Significant

A

If the decision is to reject the null hypothesis then the results are said to be statistically significant.

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6
Q

Paired data

A

paired t-test

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7
Q

Two independent groups

A

t-test

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8
Q

Means: More than two independent groups

A

ANOVA

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9
Q

Proportions: Two or more independent groups

A

chi-square test

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