stats final exam

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12 Terms

1

two sample t-test

  • two separate groups

  • means

  • ASSUMPTION: normality

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2

correlation

  • numeric x numeric

  • measuring relationship between two variables

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3

one sample proportion test

  • binomial test

  • one sample, one proportion

  • ASSUMPTIONS: none

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4

chi-squared goodness of fit

  • comparing proportions to each other simultaneously

  • fair v not fair

  • ASSUMPTIONS: normality, expected value of at least five successes

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5

chi-squared test of independence

  • proportions

  • categorical x categorical

  • ie no religion has higher MNS proportion than others

  • ASSUMPTIONS: normality

  • null hypothesis: two categorical variables are independent

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6

analysis of variance (ANOVA)

  • numeric x categorical

  • football conference and GPA

  • ASSUMPTIONS: normality, equal variances across groups

  • null hypothesis:

    • all population means are the same

    • numeric independent of categorical

    • model does not improve prediction ability

  • can’t tell which mean is different

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7

hildebrand rule

  • symmetry test for populations

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8

Shapiro test

  • normalcy test

  • sufficiently normal if p value is greater than 0.05

  • null hypothesis = data from sufficiently normal distribution

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9

one sample t-test code

t.test(x,mu)

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10

two sample t-test code

t.test(x,y)

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11

fligner.tes(x ~ g)

  • tests for equal variances

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12

how to reject null hypothesis

  • p value below alpha

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