Skip to main content

All Questions

Filter by
Sorted by
Tagged with
0 votes
0 answers
16 views

Compare two variances

I am reading this paper I have difficulty understanding Section 6: A Linear Time Statistic and Test. At the beginning, they claim that $\text{MMD}^2_l$ has higher variance than $\text{MMD}^2_u$ (we ...
Pipnap's user avatar
  • 131
0 votes
0 answers
50 views

How to test for equal variances of correlated observations?

Let $r$ be a vector valued random variable with mean zero and variance $\Omega$. Let $r_t$ denote a specific observation of $r$ at time $t$. $\Omega$ is unknown but I have 2 estimates of it: $\Omega_a$...
Chechy Levas's user avatar
  • 1,275
2 votes
1 answer
51 views

Why is the second assumption (i.e., known population variance) unrealistic when calculating Z-interval for a mean?

I'm learning the calculation of confidence interval about the mean by Z-interval. The lecture said that: ... the second assumption about the population variance being known is unrealistic. After all, ...
T X's user avatar
  • 1,075
0 votes
0 answers
10 views

Detecting Volatility Clusters in Time Series, Stock Returns (%) in particular

My primary objective is to detect the presence of volatility clusters in financial time series, stock returns (%) in particular. So, it can be translated into the detection of "conditional ...
Pulpito's user avatar
0 votes
0 answers
49 views

Testing for Homoscedasticity - should Levene's and Brown-Forsythe use Welch's t-test/ANOVA?

This question just came up and I haven't seen any literature on the subject. Background: When testing homoscedasticity for, say, a two-sample t-test, the F-test for equal variances is deprecated due ...
Steven Ouellette's user avatar
0 votes
0 answers
12 views

Testing equality of unconditional variance of two stationary AR times series?

Suppose I have two stationary AR time series: $$ \begin{align} y_{1,t} &= \phi_1 y_{1,t-1}+\varepsilon_{1,t} \\ y_{2,t} &= \phi_2 y_{2,t-1}+\varepsilon_{2,t} \end{align} $$ with $\varepsilon_{...
lowndrul's user avatar
  • 2,157
0 votes
0 answers
56 views

when focus on the pre-test for the normality test and ignore the pre-test for equality of variances?

When should a pre-test for normality only without a pre-test for equality of variances be performed before location tests like this paper did ((Rochon, J., Gondan, M. & Kieser, M. To test or not ...
Statistical scientist's user avatar
4 votes
1 answer
282 views

Standard deviation squared is variance. What is standard error of the mean squared? [closed]

Is it correct to say that there is a sample variance and a mean variance, and their square roots are the standard deviation and the standard error of the mean, respectively?
Романов Андрей's user avatar
1 vote
0 answers
30 views

How to establish what distribution to compare my statistic to

Apologies for this poorly titled question, but I've been taking some statistics courses and sometimes when you try to learn too many things in too little time you want to take a step back to check if ...
javier's user avatar
  • 11
1 vote
1 answer
102 views

Difference between F-test and confidence intervals on variance estimates

Given n samples from a normally-distributed variable X, we estimate variance as $s^2=\frac{1}{n-1}\sum{(x_i - \bar{x})^2}$. We can also get a confidence interval for such a variance estimate as: $$...
feetwet's user avatar
  • 1,176
1 vote
0 answers
139 views

Hypothesis testing of normal distribution, unknown mean unknown variance

Suppose that we make measurements of an effect, and we know that the values that we obtain follow a normal distribution. But we don't know the mean nor the variance. The hypothesis is that 95% of the ...
Adrian 's user avatar
1 vote
0 answers
143 views

When A/B testing a two sample hypothesis test of means, should we always use the welch t-test? [duplicate]

The Welch t-test is best used when we cannot make an equal variance assumption between our treatment and control groups (our two samples). However, in A/B testing, it's not clear to me how we could ...
Estimate the estimators's user avatar
8 votes
2 answers
523 views

Why do we adjust for within-group variability in statistical testing of differences in group means?

I hope this question fits the forum. I'm not a statistician, but have received decent training in statistics and use statistical modeling in my daily work. I've been tasked to give a very condensed &...
Sointu's user avatar
  • 2,815
1 vote
1 answer
89 views

Variance test with survey weights

When not working with surveys, you do a variance test with var.test(). What do you do when you want to account for complex survey design?
Santiago Valdivieso's user avatar
0 votes
2 answers
35 views

Need of hypothesis test when we know the population distribution & parameters

While studying about the hypothesis testing, I encountered the following case - Consider a case where we are carrying out hypothesis testing for amount of perfume filled in the bottles: NULL ...
Deepak Tatyaji Ahire's user avatar
2 votes
0 answers
124 views

Statistically comparing the variance of two dependent samples

I have two dependent samples of data. Each sample contains N = 800 values (data points) and stem from the same human subjects, that is, sample one is the pre-experimental and sample two the post-...
Philipp's user avatar
  • 307
4 votes
1 answer
186 views

equal *population* variances in paired t test

I I want to perform a paired t-test to check if there's some effect, I have the distribution of "before" and the distribution of "after" the manipulation. Do I need to assume the ...
user389283's user avatar
2 votes
1 answer
35 views

Same mean, same SD, different spread

In an experiment I'm running, I'm trying to determine if my light brightnesses are "clumped" or not. During the experiment, stuff will change rapidly from light to dark in a random way, but ...
Necarion's user avatar
0 votes
1 answer
33 views

Joint Hypothesis Testing-Variance

Got the following question: Here is the provided answer: I am confused about where the $9$ coefficient is coming from above. Any thoughts?
user384212's user avatar
1 vote
0 answers
31 views

Test statistic for whether variance is the same every month

I have a panel of observations, where there are $T$ days and each day there are $N$ observations. So the panel is $X \in R^{T \times N}$. The question I'm trying to answer is: is the cross-sectional ...
stevew's user avatar
  • 831
4 votes
1 answer
141 views

Inferences about $\mu$ based on the sum of two dependent normal RVs

Given: $X \sim \mathcal{N}(\mu, \sigma^2)$ $Y|X=x \sim \mathcal{N}(0, (\theta x)^2)$ $Z = X + Y$ I want to be able to make hypothesis tests or confidence intervals for $\mu$ using $Z$ and known $\...
be_excellent_to_each_other's user avatar
0 votes
1 answer
60 views

Why is the pooled variance calculated using the variation of the two tested groups?

When comparing between two populations, or two groups from the same population, a t-test assumes that both those groups have the same variance. However, a t-test works by using the pooled variance ...
Programming Noob's user avatar
0 votes
0 answers
65 views

Conditional variance $\hat{\beta}_1|x_1, x_2,\ldots, x_n$

Why do we need to estimate the variance of $\hat{\beta}_1|x_1, x_2,\ldots, x_n$ when we want to test a hypothesis about $\beta_1$?
Fimi's user avatar
  • 1
1 vote
0 answers
858 views

Derivation of the variance of the ${\hat{\beta}}$, why ${\frac{\hat{\beta} - \beta}{SE(\hat{\beta})}}$ follows t-distribution

Thank you so much for all the input and for pointing out my mistakes. I made some corrections and try to add more details but ended up trying to answer my problem based on other people's posts. Please ...
symphony001's user avatar
0 votes
1 answer
80 views

How can one show the sum of observed variables is "zero"?

Let's assume one is collecting measurements $x_i(t)$ of "true" variables $\bar x_i(t)$, where $0\le i<n$ is the index identifying each variable and $t$ represents different sampling times....
AurelienJ's user avatar
1 vote
0 answers
20 views

Standard error of regression coefficients? [duplicate]

I'm trying to test the hypothesis that $\beta_{1} = \beta_{2}$ for the SLR $y_{i} = \beta_{1} + \beta_{2}x_{i} + \epsilon_{i}.$ I start by letting $\delta = \beta_{2} - \beta_{1}$, so my null ...
jackyooo's user avatar
3 votes
1 answer
160 views

Why n-1 instead of n in pooled sample variance

I am currently self-learning hypothesis testing and am looking at the independent samples t-test whose test statistic involves the pooled sample variance (https://libguides.library.kent.edu/spss/...
hamster1230's user avatar
1 vote
0 answers
20 views

Can the F test be generalized for a null hyp where variances are unequal?

Sorry for the question, maybe this appears in a book a little more advanced than the ones I have seen. Suppose we have two samples from normal distributions with sample variances $S_{n,1}^2$ and $S_{m,...
Rafael's user avatar
  • 213
2 votes
1 answer
611 views

Why is the Mean Square Between (MSB) used in 1-way ANOVA instead of total variance?

I'm having a hard time parsing the logic behind the formulas in the 1-way ANOVA. I'll first establish what I understand so far which will lead into my question. The objective of a 1-way ANOVA is to ...
Nova's user avatar
  • 719
4 votes
1 answer
1k views

Is there such a thing as a paired-samples F-test?

I have paired data (from a pre/post-test) for which I assume that the variance differs between groups (again between pre/post). Visually, this assumption appears to check out and there is less ...
FirefoxMetzger's user avatar
2 votes
2 answers
2k views

Computing a p-value of a 2-sided Chi-squared test for one variance

Below is a simple question from a textbook. I answer the question by computing the critical values for a critical region $\alpha = 0.05$ for a Chi-squared distribution (42.95, 86.83) and then ...
s5s's user avatar
  • 705
1 vote
1 answer
205 views

Can I compare just some grades to see if they are statistically significantly different from one another?

I have grades of 25 students (for one test/exam) according to the German school system. The possible range of these grades is from 1 (very good) to 6 (insufficient). From my sample, 20 students got ...
johkra's user avatar
  • 11
1 vote
1 answer
101 views

Standard convention for test statistic for F-test?

According to my textbook, Mathematical Statistics with Applications 7th. Ed, they write the test statistic in a F-test, that compares variances of two different populations, so that the larger ...
feonyte's user avatar
  • 199
4 votes
1 answer
86 views

Hypothesis Testing for the equality of 2 variances

Suppose I have 2 distributions: $X\sim N(\mu_1,\sigma_1^2)$ and $Y\sim N(\mu_2,\sigma_2^2)$ such that $\sigma_1^2$ and $\sigma_2^2$ are unknown. How do I test $H_0: \sigma_1^2 = 10\sigma_2^2$ and $ ...
Emily S. W.'s user avatar
0 votes
1 answer
473 views

Significance test testing whether one variance is larger than the other

I feel like I am missing a key link and this tasks is quite easy: I am given the following averages and standard deviations: $\bar{x}_1 = 971$, $s_1 = 42$, $n_1 = 1000$ $\bar{x}_2 = 983.9$, $s_2 = 60....
Paul1911's user avatar
1 vote
0 answers
145 views

Hypothesis Test of 2 binomial distributions with unknown and unequal variances

I want to double check if my math and logic is correct in performing a hypothesis test of two sample means from binomial distributions with the assumption of unknown and unequal variances from the ...
Omar123456789's user avatar
1 vote
1 answer
490 views

Normality test for circular data

I have some angles and I am wondering how can I test whether the distribution of my data is normal or not. In fact, I want something similar to KS test. Howver, I want to use it for circular data to ...
Aep's user avatar
  • 171
2 votes
0 answers
28 views

Portion of variance explained by individual properties with ANOVA

I have used the ANOVA test to compare the expected values of three datasets. The data sets contain data about the lifespans of three brands of frying oils. I have used Excel to perform the test and I ...
Jiří Pešík's user avatar
3 votes
1 answer
1k views

How to interpret the Score-Based CUSUM test results?

Context I'm doing an analysis of a price time series and checking for structural breaks (s.b. further on). One of these tests is the Score-Based CUSUM test. As far as I understand, this test is more ...
student's user avatar
  • 261
2 votes
1 answer
1k views

A/B test sample size formula confusion

I was trying to understand the math behind some commonly used calculators and formulas for A/B tests and it seems that there might be some variations. Ideally, I would like to understand how each of ...
Don Draper's user avatar
6 votes
1 answer
429 views

Can long run variance of a time series be used to test mean of the series?

Let $Y_t$ be a stationary time series with $Y_t \sim N(\mu, \gamma_0) \,\, \forall t$. Further define, $$\bar Y_T \equiv (1/T)\sum\limits_{t=1}^TY_t$$ Further, let $\sigma^2_l$ be the long-run ...
Dayne's user avatar
  • 2,611
4 votes
1 answer
96 views

Does one need to test independence of variables first?

Suppose one is given the following data set $X$. "8 5 12 4 11 6 8 7 7 12 7 3 11 14 11 9 6 6 5 6 10 14 4 5 5" Let $n$ be number of data points. One wants to obtain 95% ...
user45765's user avatar
  • 1,465
0 votes
0 answers
22 views

(Hypothesis testing of sum or count) standard error when underlying distribution is skewed and heavy tailed

I'm trying to perform hypothesis testing to check if there is a difference in two groups w.r.t. sum of X (continuous RV such as revenue) and sum of Y (integer RV such as count); Each sample in a group ...
datalover's user avatar
2 votes
2 answers
448 views

Ansari-Bradley Test Sensitivity to Median Differences: Should we subtract the median from each group?

The Ansari-Bradley test appears to be ineffective at detecting scale differences when the two distributions have markedly different medians. However, when I subtract the median of each group, I get ...
Dave's user avatar
  • 67.1k
2 votes
0 answers
71 views

F test with inverted hypotheses

When using the F test to see whether pooled variance is appropriate, would it not be more useful to assume that the population variances are not equal and let the alternative hypothesis be that they ...
Stefan's user avatar
  • 128
2 votes
0 answers
31 views

How to test that a sequence of variances rank ascendingly?

I am investigating forecast optimality. Diebold (2017, p. 334, list item d) indicates that one of the desirable properties of a good forecast is Optimal forecasts have $h$-step-ahead errors with ...
Richard Hardy's user avatar
1 vote
0 answers
73 views

How to perform a statistical comparison between these two groups?

How would I compare these two groups? In this case, this would be a comparison between group A and B, where the first group would contain the first two violin plots, and the second group would be ...
Rohit Arora's user avatar
1 vote
1 answer
148 views

Good variance test when the distributions have different shapes but I really want to test the variance

Consider $X\sim N(1,1)$ and $Y\sim exp(1)$. The distributions are totally different, but they do have equal variance, so if I were to sample from these and test for unequal variance, I would not want ...
Dave's user avatar
  • 67.1k
1 vote
3 answers
803 views

Test $H_0$ hypothesis that the population variances are equal

Here is the problem: Suppose you analyze potato prices in Brno and Prague. For Brno you analyze 18 shops and find sample variance 45. For Prague you analyze 27 shops and find sample variance 75. Test ...
user's user avatar
  • 229
1 vote
1 answer
2k views

$\chi^2$ test for the variance in Python [closed]

I am looking for a function in Python testing the hypothesis that the variance of a Gaussian sample is equal to a given value, to validate my own function. I talk about this test: https://www.itl.nist....
marco's user avatar
  • 225