Exam 2 Review Flashcards

(6 cards)

1
Q
  1. Provide the formula for Bayes Rule in the case that event 𝐴 depends on event 𝐡.
A

𝑃(𝐴|𝐡) =
𝑃(𝐡|𝐴) 𝑃(𝐴) / 𝑃(𝐡) =
𝑃(𝐡|𝐴) 𝑃(𝐴) / 𝑃(𝐡|𝐴) 𝑃(𝐴) + 𝑃(𝐡|𝐴𝑐) 𝑃(𝐴𝑐)

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2
Q
  1. If events 𝐴 and 𝐡 are independent, what is the probability of observing both event 𝐴 and event 𝐡? what about event 𝐴 or event 𝐡?
A

𝑃 (𝐴 π‘Žπ‘›π‘‘ 𝐡) = 𝑃 (𝐴) Γ— 𝑃 (𝐡)

𝑃 (𝐴 or 𝐡) = 𝑃 (𝐴) + 𝑃 (𝐡) - (𝑃 (𝐴) Γ— 𝑃 (𝐡))

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3
Q
  1. How do Bayesian and Frequentist statistics differ? Explain in words and provide the relevant formulas for the probabilities that they are both calculating
A

Frequentist statistics assume a normal distribution model and use that model to calculate the probability of some data occurring:
𝑃(π·π‘Žπ‘‘π‘Ž|π‘€π‘œπ‘‘π‘’π‘™).
By contrast, Bayesian Statistics involves subjective probability with a prior and aims to calculate the probability of a model occurring given some data:
𝑃(π‘€π‘œπ‘‘π‘’π‘™|π·π‘Žπ‘‘π‘Ž). The latter can be precisely calculated through Bayes’ Rule:
𝑃(π‘€π‘œπ‘‘π‘’π‘™|π·π‘Žπ‘‘π‘Ž) = 𝑃(π·π‘Žπ‘‘π‘Ž|π‘€π‘œπ‘‘π‘’π‘™) 𝑃(π‘€π‘œπ‘‘π‘’π‘™) / 𝑃 (π·π‘Žπ‘‘π‘Ž)

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4
Q
  1. What is a t-ratio score? Provide the formula and explain in words how it differs from a z-score. Hint: to answer this question, you will need to explain what is a z-score, provide the formula, and draw the relevant graph.
A

t = (π‘₯Μ„ βˆ’ πœ‡) / (𝑠/βˆšπ‘›)
𝑧 = 𝑋̄ βˆ’ πœ‡ / 𝜎
1. Given the above formulas, the t-test substitutes the standard error, 𝑠π‘₯Μ„, for the standard deviation, 𝜎.
2. Given the above formulas, the t-test takes into account the sample size, whereas the z-score does not.
3. The t-test involves a t-distribution, which is slightly different than a regular normal distribution, because the t-distribution depends on:
* sample size
* degrees of freedom (𝑁 βˆ’ 1)
4. In practice, using the t-test will just change the statistic that we multiply in the margin of error to obtain our confidence interval.
* 𝐢𝐼 = 𝑋̄ Β± 𝑀𝑂𝐸 = 𝑋̄ Β± 𝑑 Γ— 𝑠𝑋̄

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5
Q
  1. What are statistical significance and substantive significance?
A

Statistical significance corresponds to the p-value of usually .05 or lower, which entails rejecting the null hypothesis.
Substantive significance corresponds to the size of the coefficient value.

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6
Q
  1. What is the z-score associated with a 95% confidence interval?
A

1.96

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