# Questions tagged [self-study]

A routine exercise from a textbook, course, or test used for a class or self-study. This community's policy is to "provide helpful hints" for such questions rather than complete answers.

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### How do we deduce this fisher information relation?

Given a RS $X_{1},X_{2},\ldots,X_{n}$ whose distribution is well known (unless its parameters), how do we prove the following Fischer Information relationship \begin{align*} I_{F}(\theta) =\textbf{E}\...
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### Compartion of GLM models through log-likelihood, deviance and chi square

I'm studying GLM models in software R. I have a dataset with the follow distribution: age, sex, years of study (ys), road or hightway (usop), and claims. I'm adjusting my model to claimns where it is ...
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### How do I find a p value using a T table with a sample size of 200?

A special study is conducted to test the hypothesis that people with glaucoma have higher blood pressure than average. In the study, 200 people with glaucoma are recruited with a mean systolic blood ...
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### Approximate the critical region such that the size of the test tends to $\alpha$

Consider this question, Suppose $X_1, X_2, . . . , X_n$ is a random sample from an exponential distribution with mean $\lambda$. Assume that the observed data is available on $[X_1], . . . , [X_n]$,...
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### Prove that $\frac{1}{n(n-1)}\sum_{i=1}^{n}(X_{i} - \overline{X})^{2}$ is an unbiased estimate of $\text{Var}(\overline{X})$

If $X_{1},X_{2},\ldots,X_{n}$ are independent random variables with common mean $\mu$ and variances $\sigma^{2}_{1},\sigma^{2}_{2},\ldots,\sigma^{2}_{n}$. Prove that \begin{align*} \frac{1}{n(n-1)}\...
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### Naive Bayes missclassification rate across classes

I have a dataset with income, age sex and education as categorical features. I used R to create a Naive Bayes classifier as follows: income ~ age + sex + education. I got the following a-priori and ...
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### Why is degree of freedom so important? [duplicate]

As far as I'm concerned, the degree of freedom is simply the number of linear equations need to be satisfied. However, it seems closely related to the statistical deduction. For example Dividing by ...
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### Kurtosis risk interpretation

There is a True or False item that is confusing me a little bit. Statement says: "Kurtosis risk (also known as 'fat tails' risk) explicitly describes the situation of having more observations at ...
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### Showing estimator is biased without assuming $X^TX$ is invertible?

I would like to show that the ridge regression estimator: $$\beta^R = (X^TX+\lambda I)^{-1}X^T Y$$ is biased, where $Y \sim N(X\beta, \sigma^2 I)$. If we assume that $X^TX$ is invertible, this can ...
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### Questions about Uniformly Powerful Test

I'm using likelihood ratio test and I got to the point where I need to find the distribution of the sum of X1^m, X2^m...Xn^m. My work so far:
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### Denominator in Bayes - in the continuous case, why isn't it zero?

For a continuous random variable, the probability of any particular value is zero. Only by integrating over some range is a non-zero probability obtained. The components of the Bayes theorem are ...
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### Question regarding Extreme Value Theory and finding the distribution of X(n)

Hello stats stack exchange, I have a question regarding Order Statistics and the asymptotic distribution of $X_n$ which is the rv for max($X_1$, $X_2$,...,$X_n$) where $X_i$ are from some distribution....
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### Probability of picking a white ball

the problem: I have a vase with a ball in it which I know to be either white or black with equal probabilities. I throw a white ball in the vase, shake, and take out a ball without looking, which ...
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### critical region of a binomial population

I have the following homework problem: The number of successes in $n$ trials is to be used to test the null hypothesis that the parameter $\theta$ of a binomial population equals 0.5 against the ...
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### If $F_X(z) > F_Y (z)$ for all $z\in \mathbb{R}$ then $P(X < Y ) > 0$?

I came across this question in a review of an old exam I took. I didn't get the answer correctly then, and I'm struggling to figure the answer out now. Can anyone help me reason through this? ...
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### How do we build a confidence interval for the parameter of the exponential distribution?

EDIT Let $X_{1},X_{2},\ldots,X_{n}$ be a random sample whose distribution is given by $\text{Exp}(\theta)$, where $\theta$ is not known. Precisely, $f(x|\theta) = (1/\theta)\exp(-x/\theta)$ Describe ...
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### Given $X\sim\mathcal{N}(0,\sigma^{2})$, obtain the Fischer information of $\sigma$ and $\sigma^{2}$

Suppose the random variable $X\sim\mathcal{N}(0,\sigma^{2})$, where we do not know the value of the standard deviation $\sigma$. Then obtain the Fisher information $I_{F}(\sigma)$ through $X$. Suppose ...
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### Mean and Variance of weighted sum of n random variables? [duplicate]

Suppose we have n jointly distributed random variables $x_i,i=1,...,n,$ with mean and variance $E(x_i)=\mu_i$, $Var(x_i)=\sigma^2_i$ and covariance $Cov(x_i,x_j)=\sigma_{ij}.$ Then the weighted sum of ...
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### Does the UMP exist?

Suppose $X_1, X_2, X_3,\ldots, X_n$ are i.i.d. random variables with a common Poisson$(\lambda)$ distribution. $$X=(X_1, X_2, X_3,\ldots, X_n)$$ and $g(λ)=\lambda(1 - e^{-λ})$ Is there a UMP (...
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### Build an approximated confidence interval for $\sigma$ based on its maximum likelihood estimator

Let $X_{1},X_{2},\ldots,X_{n}$ be a random sample whose distribution is given by $\mathcal{N}(0,\sigma^{2})$. Build an approximated confidence interval for $\sigma$ based on its maximum likelihood ...
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### Compute conjugate prior from the sample distribution

I feel like this question might be marked as duplicate because I see many similar incurring in that fate but I'll try anyway. I would say I did not find anything similar. I have been thought a ...
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### Can we replace the t-Student distribution by the Normal distribution in this context?

As far as I have studied, given a normal random sample, we can build the confidence interval of the mean $\mu$ if we know the variance through the relation \begin{align*} \frac{\sqrt{n}(\overline{X}-\...
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### How to design an experiment to test the effect of a drug on subjective energy level

I am currently running an experiment to test the effect of a drug (ALCAR) on my energy level (measured using a subjective 5-point scale). My goal is to determine whether or not consuming this drug ...
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### Given two related ratios within a population, derive a third ratio (eg. redheads, non-redheads, and skin cancer)

If People X are N times more likely to have attribute A than non-X People X are P percent of the population then What percentage of A's are X? Example (the numbers are just for illustration). If ...
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### Binomial distributed random sample: find the least variance from the set of all unbiased estimators of $\theta$

Let $X_{1},X_{2},\ldots,X_{n}$ be random sample from $X\sim\text{Binomial}(2,\theta)$. (a) Find the least variance from the set of all unbiased estimators of $\theta$. (b) Find a sufficient ...
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### Convergence in probability (asymptotic notation) result

Let $h=h_n$ be a sequence of numbers such that $h_n \rightarrow 0$ as $n \rightarrow \infty$, $\mu$ be a real constant and $f$ be some probability density function. I was wondering if the following ...
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### Normal distributed random sample: find the least variance from the set of all unbiased estimators of $\theta$

Let $X_{1},X_{2},\ldots,X_{n}$ be a random sample from $X\sim\mathcal{N}(0,\sigma^{2})$. (a) Find the least variance from the set of all unbiased estimators of $\sigma^{2}$. (b) Find a sufficient ...
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### What must someone know in statistics and machine learning? [closed]

There seem to be two different worlds in statistics. On one hand, there are the practitioners which run the same tests again and again. On the other hand, there is this overwhelming and seemingly ...
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### Conditional covariance of multivariate normal tail

Let $X\sim N(\mu,\Sigma)$, $t\in\mathbb{R}$, and $a$ be a non-zero vector of the same dimension as $X$. Define a random vector $Y=X\mathbb{1}(a^\top X\ge t)$, where $\mathbb{1}$ denotes the indicator ...
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### Find mgf from joint pmf

The joint pmf of random variables $X$ and $Y$ is given by p_{XY}(x,y)= \begin{align} & \frac{e^{-2}}{x! (y-x)!}\quad\text{if}\,\,\,x= 0,1,...y,\ y=0,1,... \\ \end{align} Find its mgf. \...
I am presented with the following homework problem: Let $X(t)$, $t > 0$, be the infinite server queue and suppose that initially there are $x$ customers present. Compute the mean and variance of \$...