Slides 20 ⊹₊ ⋆ Flashcards

1
Q

What are the main topics covered in Test 2?

A

Confidence Intervals for means and proportions, Hypothesis Testing, Sample Proportion, 1-sample t test, Unpaired/paired 2 sample t test, ANOVA, Basics of linear regression, Visually analyzing data, Constructing a Model, Interpreting R output, Any scientific paper using any of these methods.

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2
Q

Which topics are omitted from Test 2?

A

Omitted Variable Bias, Residual Analysis, Multivariable Models, Nonlinear Models, Interaction Terms, Multicollinearity.

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3
Q

What is the formula for a sample proportion confidence interval?

A

p̂ ± z*√((p̂(1-p̂)/n)

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4
Q

What are the null and alternative hypotheses for a sample proportion test?

A

H0: p = [value], HA: p ≠/>/< [value]

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5
Q

What are the conditions for the Central Limit Theorem (CLT) in hypothesis testing?

A

np ≥ 10, n(1-p) ≥ 10

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6
Q

What is the test statistic formula for a sample proportion?

A

z = (p̂ - p) / SE

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7
Q

What is the formula for a sample mean confidence interval?

A

x̄ ± t*s/√n

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8
Q

What are the null and alternative hypotheses for a sample mean test?

A

H0: μ = [value], HA: μ ≠/>/< [value]

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9
Q

What is the condition for sample size in a t-test?

A

n ≥ 30; if n < 30, data must look REALLY normal

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10
Q

What is the formula for the t statistic in a sample mean test?

A

t = (x̄ - μ) / SE

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11
Q

How do you find the p-value for a t-test?

A

pt(t, df=n-1)

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12
Q

What is the difference between paired and unpaired sample means?

A

Paired means use x̄diff, while unpaired means use (x̄A - x̄B)

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13
Q

What is the formula for the t statistic in an unpaired means test?

A

t = ((x̄A - x̄B) - (μA - μB)) / SE

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14
Q

What are the null and alternative hypotheses for an ANOVA test?

A

H0: no difference among means, HA: some difference among means

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15
Q

What conditions must be met for ANOVA?

A

Each group must pass t test conditions, variances should be roughly equal

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16
Q

What is the formula for the F statistic in ANOVA?

A

F = MSG/MSE

17
Q

What is the definition of a confidence interval (CI)?

A

A range of values that is likely to contain the population parameter with a specified level of confidence.

18
Q

What does z* represent in the context of confidence intervals?

A

The number of standard deviations away from the mean needed to capture the desired proportion of data.

19
Q

For a 95% confidence interval, what is the value of z*?

20
Q

For a 99% confidence interval, what is the value of z*?

21
Q

What is the formula to calculate t* for a confidence interval?

A

qt(0.995, df=n-1)

22
Q

What is the significance of the degrees of freedom in t-distribution?

A

Degrees of freedom adjust the t distribution based on sample size.

23
Q

What statistical tests are covered in the examples provided?

A

Sample proportion, Sample mean, Paired sample means, Unpaired sample means, ANOVA, Regressions.