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Chapter Seven Introduction to Sampling Distributions Section 3

Chapter Seven Introduction to Sampling Distributions Section 3

Chapter Seven Introduction to Sampling Distributions Section 3 Sampling Distributions for Proportions. Key Points 7.3. Compute the mean and standard deviation for the proportion p hat = r/n Use the normal approximation to compute probabilities for proportions p hat = r/n

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453 views • 34 slides
Statistical Properties of Returns

Statistical Properties of Returns

Statistical Properties of Returns. Predictability of Returns. Asset Return Predictability. Previously: Introduced some of the issues and the datasets available locally. Now: Continued discussion of tests of predictability (CLM Ch. 2). Forms of the random walk hypothesis and martingales.

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411 views • 28 slides
Binomial Distributions

Binomial Distributions

Binomial Distributions. Special Probability Distributions. Objectives:. To determine the characteristic of a special type for probabilities distribution (Binomial Distributions) To apply knowledge of Binomial distributions in several real world settings. Binomial Distributions.

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329 views • 16 slides
Distributions of sampling statistics

Distributions of sampling statistics

Distributions of sampling statistics. Chapter 6 Sample mean & sample variance. Sample vs. population. A population is a large collection of items that have measurable values associated with the experimental study

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323 views • 12 slides
7.3 Binomial Trials

7.3 Binomial Trials

7.3 Binomial Trials. These type of experiments are called: Binomial Trials Bernoulli Trials The outcomes of a binomial trial are considered as: Success Failure . Since there are only two outcomes, we know that: Pr (success) + Pr (failure) = 1 If we call: Pr (success) = p

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230 views • 9 slides
7.3 Binomial Trials

7.3 Binomial Trials

7.3 Binomial Trials . Binomial Trials: Success/Failure Probability of k Successes. Binomial Trials: Success/Failure. An experiment with just 2 outcomes is called a binomial trial (or Bernoulli trial. ) One outcome is labeled a success and the other is labeled a failure.

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199 views • 8 slides
CK-12 FlexBook- Poisson & Geometric Probability Distribution

CK-12 FlexBook- Poisson & Geometric Probability Distribution

Ck-12 Flexbook on the Geometric and Poisson Probability explains that they are two other discrete probability distributions that are related to the binomial distribution.

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385 views • 2 slides

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