Mathematical statistics is the study of statistics from a mathematical standpoint, using probability theory as well as other branches of mathematics such as linear algebra and analysis.

learn more… | top users | synonyms

1
vote
1answer
44 views

Convergence of probability densities

I appreciate if you can give me some guidance on how to approach this question: Suppose $f_n(x) \text{ and } g(x)$ are densities such that for all x, $f_n(x) \rightarrow g(x)$ as $n \rightarrow ...
3
votes
1answer
238 views

Median of order statistics

I recently learned that to find the pdf of the median of say $X_1,X_2, X_3$, you first find the Cdf via $$ P(M \le x) =P(\text{at least 2 are}\, \le x) = P( \text{exactly 2 are}\, \le x) + P(\text{all ...
0
votes
1answer
47 views

Meaning of Fisher's information

If I am correct, Fisher's information at parameter $\theta$ is defined to be the variance of the score function at $\theta$. The score function is defined as the derivative of the log-likelhood ...
3
votes
2answers
206 views

Expected value of applying the sigmoid function to a normal distribution

Short version: I would like to calculate the expected value if you apply the sigmoid function $\frac{1}{1+e^{-x}}$ to a normal distribution with expected value $\mu$ and standard deviation $\sigma$. ...
1
vote
1answer
34 views

Bayesian learning

Imagine we assume there are two different types of coins: Coin A: a fair coin, p(heads) = 0.5. Coin B: biased to heads at p(heads)=0.7. We then want to learn from samples which coin we are ...
0
votes
1answer
62 views

how to find the quartiles

I am confused on the method to find the 1st and 3rd quartiles. Suppose given a data set 2,5,6,9,10,11,13,17 with an even number of data. What is the formula to ...
1
vote
4answers
68 views

What does it mean to integrate with respect to the distribution function?

If $f(x)$ is a density function and $F(x)$ is a distribution function of a random variable $X$ then I understand that the expectation of x is often written as: $$E(X) = \int x f(x) dx$$ where the ...
0
votes
2answers
32 views

95% confidence interval for the mean becomes irrelevant when t-test is insignificant?

For the results I have been given, I have been asked to interpret the 95% confidence interval for the mean. However, the t-test shows a value more than .05, meaning that the differences I am exploring ...
1
vote
1answer
886 views

How can I calculate the standard deviation knowing an event probability and a number of trials?

I'm writing a test for a probabilistic data structure that I've implemented. Since its probabilistic, its performance is different every time, and in particular, the performance varies much more ...
0
votes
1answer
2k views

is it possible to calculate the standard deviation with a given mean and sample size?

I have been going in rounds with this problem... I may be thinking "complicated", any advice? I have the mean and total sample size (=number of data points) and I need to know what is the standard ...
4
votes
4answers
115 views

Expected value for $f(x)= \frac{\Gamma (\alpha+\frac{1}{2})}{\Gamma (\alpha)} \frac{\beta^\alpha}{\sqrt{\pi}} \frac{x^{\alpha-1}}{\sqrt{1-\beta x}}$

$$f(x)= \frac{\Gamma (\alpha+\frac{1}{2})}{\Gamma (\alpha)} \frac{\beta^\alpha}{\sqrt{\pi}} \frac{x^{\alpha-1}}{\sqrt{1-\beta x}}$$ where $0<x<\beta$. So these are three terms all multiplied ...
0
votes
0answers
26 views

Covariance between sample variance and sample sum of squares

I am trying to find the cov(A,B), where A is the sample variance, and B is the sample sum of squares. I am new here, and don't know yet how to enter the formuale in the question box, but I think they ...
3
votes
2answers
508 views

Examples of Student's T-distribution in real world empirical data?

I have recently stumbled onto some empirical (forecasting error) data that should be normally distributed. However, the normal distribution fits relatively poorly due to the abundance of data points ...
3
votes
1answer
162 views

A question about finding the convergence of a distribution

Let $X$ have the Gamma$(s,1)$ and given $X=x$, let $Y$ have the Possion distribution with parameter $x$. Show that $$\frac{Y-E(Y)}{\sqrt{\operatorname{var}(Y)}}\longrightarrow W$$ where ...
0
votes
0answers
16 views

Do data points outside standard deviation persist in data subsets?

I have a data set of dates and values that are being plotted. I create a simple trend line y=a+bx using linear regression, and then I create a 'trend channel' (I ...
0
votes
1answer
91 views

Grouping ranges

I have this set of numbers, that is a range of prices (ie 6-10) and a quantity of products (5) ...
-1
votes
1answer
64 views

Some Algebra 2 help [closed]

The table shows the distance and costs of flights for a given airline with the same starting destination and different ending destinations. Distance (miles) vs Cost($) 1281 473 2796 683 790 ...
-2
votes
0answers
27 views

Statistics( find the no. of students)

Question:1 The mean weight of 500 male students at a certain college is 75kg and the standard deviation is 7kg.Assuming that weights are normally distributed, the number of students weigh between 60 ...
0
votes
2answers
32 views

Quadratic and geometric average

I'd like to find the find the quadratic average and the geometric average. To do this I have these informations : The standart deviation, the arithmetic average and the number of values. I know the ...
1
vote
3answers
86 views

What is the $\operatorname{cov}(X, \max(X,Y))$ and $\operatorname{cov}(X, \min(X,Y))$ where $X,Y \sim N(0,1)$?

having trouble with this one. The exact questions is the $\operatorname{cov}(X, \max(X,Y))$ and $\operatorname{cov}(X, \min(X,Y))$ where $X,Y \sim N(0,1)$. i think the way to calculate it is to get ...
0
votes
2answers
61 views

Cumulative Distribution of X/Y

Let X, Y be independent exponential variables with rates $\alpha$, and $\beta$. Find the c.d.f. of X/Y. So far, I let Z = X/Y. I can then show $f_Z(z) = \int_{-\infty}^{+\infty} |x|f_{X,Y}(x,xz) ...
0
votes
1answer
234 views

Statistics - Z-score confusion.

For z score, you are taking the sample value subtracting population mean and dividing it by std deviation. Is that correct so far? Now, the "sample value" is defined by an equation. In my scenario, I ...
0
votes
0answers
15 views

On $F(X^−)$ where $F$ is cdf of $X$.

$F$ is cdf of r.v. $X$. Define $\tilde{X} := F(X^−)$, where $F(x_0^-) := \lim{x \to x_0^-} F(x)$. This is what I sometimes see from statistic books especially about nonparametric statistics. I ...
0
votes
2answers
229 views

Statistics: normal distribution, finding truncated mean.

Say $X$ is a random variable arising from a normal distribution with mean $10$ and variance $4$ $(N(10, 4))$ truncated at $X=6$. How do I find the truncated mean of the distrubution?
2
votes
1answer
31 views

Probability mass function

Why is the probability function of a discrete random variable called a probability "mass" function? What does the word "mass" mean here?
3
votes
1answer
227 views

Bus stop probability question

People arrive at random times and independently at a bus stop and wait for the bus to arrive. The bus arrives at this stop once every hour. Thus, the waiting times of the people follow a uniform ...
0
votes
2answers
44 views

Calculating the MSE for assessment

Let $X_1, \ldots, X_n \sim \mathcal{N}(\mu, \sigma^2)$ be the sample, when $\mu$, $\sigma$ are unknown. We suggest assessment for $\sigma^2$: $$S^2 = \frac{\displaystyle\sum_{i=1}^n (X_i - ...
0
votes
1answer
212 views

Multiple Regression over an experimental dataset

I want to do a multiple regression over an experimental result shown as 3D-Plot and heatmap in following Images. Sorry as a new user i am not allowed to post them directly but it is just a link to ...
0
votes
3answers
35 views

What does it mean to take an integral of a probability?

My understanding is that you have some function y=f(x) to represent a probability density function, correct? For instance for a uniform random variable it looks like a giant rectangular block. I don't ...
1
vote
1answer
43 views

How to combine covariance matrices?

I have a data set of points in three dimensions. I'm calculating the barycenter (mean) and $3\times3$ covariance matrix from this data set. I store the average, the $3\times3$ matrix (where really ...
1
vote
1answer
17 views

relating $\hat {p}$ to $\bar{x} $

I'm trying to develop an intuitive understanding of the relationship between $\hat{p}$ and $\bar{x}$. Please point out anything that is incorrect. For a Bernoulli distribution, if $X_1, X_2, ... X_n$ ...
0
votes
1answer
21 views

Stuck on 'differentiating the integral from above' for computing of a PDF

I am stuck on a math derivation that has to do with statistics, so I am putting the statistical context here for context. In short, I am stuck on understanding how the answer to the PDF was attained. ...
1
vote
0answers
25 views

Appropriate statistical test to test if probabilities are accurate

I have some data that looks like this: Prob Outcome 0.09 0 0.10 0 0.10 0 0.11 1 0.84 1 0.99 1 0.86 1 0.78 1 0.86 1 0.00 0 etc. ...
4
votes
1answer
363 views

Calculation of the moments using Hypergeometric distribution

Let vector $a\in 2n $ is such that first $l$ of its coordinates are $1$ and the rest are $0$ ($a=(1,\ldots, 1,0, \ldots, 0)$). Let $\pi$ be $k$-th permutation of set $\{1, \ldots, 2n\}$. Define ...
3
votes
1answer
51 views

Asymptotics for infinite sum with erf

I'm interested in approximating the infinite sum $$ \sum_{i=1}^\infty Z\left(\frac{\alpha i\pm1}{\beta}\right) $$ where $\alpha,\beta$ are constant and $$ Z(a\pm ...
-1
votes
0answers
42 views

how to find the pooled proportion estimate? [closed]

A youth prevention organization is examining the effect of parental smoking on the decision of their teenagers to smoke. A survey of 1000 teenagers was conducted. The random sample consisted of 500 ...
1
vote
1answer
32 views

finding Moment generating function and CDF with pmf

The random variable X has the pmf f(-1)=1/4, f(0)=1/8, f(1)=1/4, f(2)=3/8 a) How would you draw the c.d.f with points (-2,F(-2)), (-1,F(-1)), (0,F(0)), (1,F(1)), (2, F(2)), (3,F(3)) b)Write the MGF of ...
0
votes
0answers
30 views

Hypothesis Testing Bayesian Way

I'm having trouble with the following problem: Suppose a machine is composed of 2 components (1 and 2, independent from each other). Each component has a exponential failure probability distribution ...
-1
votes
0answers
29 views

Statistical Analysis- Pre and Post-survey Data Analysis [closed]

I am doing a research project on whether or not students are aware of the benefits of graduating from high school. I gave students a pre-survey, then gave a presentation, then gave the same students ...
0
votes
0answers
14 views

Upper bound for the number of measurements above a certain value.

So I have a practice prelim problem. If the sample mean $\bar{x}$, number of observations $N$, and root mean square $\sigma = \sqrt{\frac{1}{N}\sum_{n=1}^N x_n^2}$ are all given, how can we derive ...
0
votes
0answers
20 views

Underlying assumption of t-test and standard error

I am having a hard time explaining why my significance test based on randomization is different from a t-test. I have 20 different data points and I know each comes from a Gaussian distribution. I ...
4
votes
1answer
119 views

Compute $P(X>40\; |\; X>10)$ where $X$ has an exponential distribution

Please could someone advise if I have interpreted this problem correctly Let $X$ have an exponential distribution with a mean of $i = 20$ (1) Compute $P(X>40 \;| \;X>10)$ I believe the ...
0
votes
0answers
30 views

Computing Conditional Probability (Poisson Random Variables)

The number of red and blue cars that go through a given intersection in an hour is a Poisson-distributed random variable with $\lambda$ = 10. What is the probability, conditionally, that at most ...
0
votes
0answers
30 views

Homework Help. Probability Density Functions.

$X$ is $N(10,1)$. Find $f(x|(x-10)^2 < 4)$ This is a homework question. I can only figure out that X is normally distributed with mean 10 and variance 1. Can you please explain what is meant to ...
5
votes
2answers
364 views

expectation of $ \left(\sum_{i=1}^n {x_i} \right)^2 $

If $x_i$ is exponentially distributed $(i=1,...,n)$ with parameter $\lambda$ and $x_i$'s are mutually independent, what is the expectation of $\left(\sum_{i=1}^n {x_i} \right)^2$ in terms of $n$ and ...
2
votes
3answers
59 views

Homework Question. Joint Probability Distribution.

Here is the question. The joint PDF of X and Y is given by $f_{XY}(x,y) = {\frac 14} e^{-|x|-|y|}$. Find $P(X \le 1 ,and, Y \le 0)$ Solving the problem I first found the marginal probabilities of X ...
-4
votes
0answers
43 views

Evaluate the right side [closed]

$X_i$ [where $i=1,2,\dots n]$ is normally distributed with mean $P$ and variance $1$, that is $X_i~N(P,1)$ then how $$-\frac{1}{2}\sum^n_{i=1}X_i^2–\frac{1}{2}nP^2=-\frac{n}{2}P^2$$
-1
votes
0answers
20 views

Probability that difference sample mean from population mean is 1.96 sd [closed]

Probability that difference sample mean from population mean is 1.96 sd a)68% b)95% c)47/5% d)99%
1
vote
1answer
102 views

Finding the cumulative distribution function for the double exponential

Im considering the double exponential with parameter $\lambda$, $$g(x)=\frac{\lambda}{2}e^{\lambda x}, x<0; \frac{\lambda}{2}e^{-\lambda x}, \geq 0$$ Just simple one looking for the c.d.f, I ...
1
vote
1answer
18 views

manual random selection, how?

Thas a question for my test in one hour...how do I do that? I have tried to find it online but no way...any help please? Suppose that a simple random sample of 20 of the Aucklanders surveyed is to be ...

1 3 4 5 6 7 66