List questions from hypothesis-testing

Published on 13 Jul 2020 - 19:41

45

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Why is a bivariate normal distribution needed for testing the Product Moment Correlation Coefficient?

Published on 18 Jul 2020 - 7:21

766

Views

UMP Test for $f_{\theta}(x)=2\theta^{-2}(\theta-x)I_{(0,\theta)}(x)$

Published on 19 Jul 2020 - 23:29

435

Views

I need help identifying the null and alternative hypothesis for this statistics problem.

Published on 28 Mar 2026 - 6:06

154

Views

How many "types" of hypothesis tests are there?

Published on 21 Jul 2020 - 20:19

79

Views

Is there a third "version" of difference-of-means hypothesis testing?

Published on 22 Jul 2020 - 4:28

190

Views

Neyman–Pearson Lemma

Published on 22 Jul 2020 - 21:42

73

Views

Proper hypothesis test setup

Published on 23 Jul 2020 - 21:28

27

Views

Constructing joint confidence intervals.

Published on 25 Jul 2020 - 22:23

40

Views

Low Number of trials for Bernoulli trial - cannot use normal approximation

Published on 30 Jul 2020 - 15:49

47

Views

Problem with conditional probabilities associated with random variables as well as hypotheses

Published on 30 Jul 2020 - 20:43

594

Views

Finding probability sample proportion is less than 33% assuming null hypothesis is true

Published on 09 Jul 2016 - 7:54

181

Views

Alternatives to Kruskal-Wallis or one way Anova test for small size samples

Published on 10 Jul 2016 - 20:59

38

Views

Is it possible to test for non-normality (in a general way)?

Published on 13 Jul 2016 - 3:50

202

Views

Bayesian Example

Published on 16 Jul 2016 - 8:36

List Question

Understanding one step in the Neyman-Pearson lemma proof

Why is a bivariate normal distribution needed for testing the Product Moment Correlation Coefficient?

UMP Test for $f_{\theta}(x)=2\theta^{-2}(\theta-x)I_{(0,\theta)}(x)$

I need help identifying the null and alternative hypothesis for this statistics problem.

How many "types" of hypothesis tests are there?

Is there a third "version" of difference-of-means hypothesis testing?

Neyman–Pearson Lemma

Proper hypothesis test setup

Constructing joint confidence intervals.

Low Number of trials for Bernoulli trial - cannot use normal approximation

Problem with conditional probabilities associated with random variables as well as hypotheses

Finding probability sample proportion is less than 33% assuming null hypothesis is true

Alternatives to Kruskal-Wallis or one way Anova test for small size samples

Is it possible to test for non-normality (in a general way)?

Bayesian Example

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