Question

Why is it in a $t$-test for difference in means, if the alternative hypothesis is $\mu_X-\mu_Y>0$, then we seek a right-tailed test and vice-versa?

score 100 · Answer 1 · 2026-03-28 17:41:08

100

Views

Why is it in a $t$-test for difference in means, if the alternative hypothesis is $\mu_X-\mu_Y>0$, then we seek a right-tailed test and vice-versa?

Published on 28 Mar 2026 - 17:41

score 466 · Answer 2 · 2026-03-28 17:42:00

466

Views

How to determine which significance level to use?

Published on 28 Mar 2026 - 17:42

score 1.4k · Answer 3 · 2026-03-29 07:31:23

1.4k

Views

Find UMVU estimator for $\frac{\mu }{\sigma}$

Published on 29 Mar 2026 - 7:31

score 19 · Answer 4 · 2026-03-28 21:34:18

19

Views

Equivalence of Hotelling's one-sample t-test to a one-sample t-test with response variable projection of unit vector into the column space of data?

Published on 28 Mar 2026 - 21:34

score 1000 · Answer 5 · 2016-12-22 14:48:35

1000

Views

copy of a random variable X

Published on 22 Dec 2016 - 14:48

score 841 · Answer 6 · 2026-03-30 13:20:17

841

Views

Density of points uniformly distributed in a sphere

Published on 30 Mar 2026 - 13:20

score 2.5k · Answer 7 · 2016-12-26 09:22:25

2.5k

Views

For the distribution $f_\theta (x) = \theta x^{\theta-1}$, what is the sufficient statistic corresponding to the Monotone Likelihood Ratio?

Published on 26 Dec 2016 - 9:22

score 54 · Answer 8 · 2026-03-25 20:35:55

54

Views

Is it possible to obtain a value for errors in measured quantities from R squared regression value?

Published on 25 Mar 2026 - 20:35

score 206 · Answer 9 · 2026-03-27 07:15:01

206

Views

For $X_1, \ldots, X_n$ from pdf $f(x|\theta) = e^{-(x-\theta)}$, the distribution of $\min X_i$ under the constrained space $\theta\leq \theta_0$?

Published on 27 Mar 2026 - 7:15

score 70 · Answer 10 · 2026-04-01 14:57:59

70

Views

What precisely does this version of the No-Free-Lunch theorem say?

Published on 01 Apr 2026 - 14:57

score 2k · Answer 11 · 2026-03-28 01:08:33

2k

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Obtaining a level-$\alpha$ likelihood ratio test for $H_0: \theta = \theta_0$ vs. $H_1: \theta \neq \theta_0$ for $f_\theta (x) = \theta x^{\theta-1}$

Published on 28 Mar 2026 - 1:08

score 67 · Answer 12 · 2016-12-30 23:38:18

In conducting likelihood ratio tests, why do statisticians normally neglect to write out the constant cutoff point, $\lambda(x) < \text{constant}$?

score 1.9k · Answer 13 · 2026-03-29 17:25:26

1.9k

Views

The difference between the Frequentist, Bayesian and Fisherian appraoches to statistical inference

Published on 29 Mar 2026 - 17:25

score 300 · Answer 14 · 2026-03-29 09:08:47

300

Views

Kernel density estimation coefficient

Published on 29 Mar 2026 - 9:08

score 1.4k · Answer 15 · 2026-03-29 03:12:19

1.4k

Views

Confused about the definition of a random sample, statistics and estimators/estimates

Published on 29 Mar 2026 - 3:12

List Question

Why is it in a $t$-test for difference in means, if the alternative hypothesis is $\mu_X-\mu_Y>0$, then we seek a right-tailed test and vice-versa?

How to determine which significance level to use?

Find UMVU estimator for $\frac{\mu }{\sigma}$

Equivalence of Hotelling's one-sample t-test to a one-sample t-test with response variable projection of unit vector into the column space of data?

copy of a random variable X

Density of points uniformly distributed in a sphere

For the distribution $f_\theta (x) = \theta x^{\theta-1}$, what is the sufficient statistic corresponding to the Monotone Likelihood Ratio?

Is it possible to obtain a value for errors in measured quantities from R squared regression value?

For $X_1, \ldots, X_n$ from pdf $f(x|\theta) = e^{-(x-\theta)}$, the distribution of $\min X_i$ under the constrained space $\theta\leq \theta_0$?

What precisely does this version of the No-Free-Lunch theorem say?

Obtaining a level-$\alpha$ likelihood ratio test for $H_0: \theta = \theta_0$ vs. $H_1: \theta \neq \theta_0$ for $f_\theta (x) = \theta x^{\theta-1}$

In conducting likelihood ratio tests, why do statisticians normally neglect to write out the constant cutoff point, $\lambda(x) < \text{constant}$?

The difference between the Frequentist, Bayesian and Fisherian appraoches to statistical inference

Kernel density estimation coefficient

Confused about the definition of a random sample, statistics and estimators/estimates

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