**217 f-test questions.**

I am comparing results of a Granger causality implementation I wrote in Python to the established package statsmodels, and noticed that the equation implemented has a scaling factor equal to the ...

I have two groups A and B, each of which consists of 5 samples. Each sample is described in a vector of length (>1000) of continuous numeric values (characteristics). I want to test if the sample in ...

Let's say I have a huge dataset with 2000 observations. I want to test the significance of one predictor in a SLR Model. Then the F-statistic effectively becomes:
F = $\frac{\frac{\sum{(\hat{Y_i}-\...

I am wondering if there is a sample size formula like Lehr's formula that applies to an F-test? Lehr's formula for t-tests is $n = 16 / \Delta^2$, where $\Delta$ is the effect size (e.g. $\Delta = (\...

I am using the vars package to estimate a VAR-model. Since it seems, that the residuals of my model are neither homoscedastic or uncorrelated I computed Newey West ...

For linear regression analysis, I thought that the addition of covariates which are not related to the dependent variable $Y$ does not decrease sensitivity. Such random/dummy regressors can be ...

I must evaluate the goodness of an instrument according to the measures of the final products. I have two instruments: one good and the other one whose goodness I have to evaluate. The measures are ...

I am having trouble to understand Stable seasonality F-test. I know it is basically the same test as one way ANOVA, but the assumptions for one way ANOVA can´t be met for it. For ANOVA the data should ...

I have a data set consisting of crop biomass measurements ("response" variable) and corresponding spectral vegetation indices measurements (predictor variables). The measurements have been made on two ...

Why is the F-test for difference in variance so sensitive to the assumption of normal distribution, even for large $N$?
I have tried to search the web and visited the library, but none of it gave any ...

I have a dataset with about 500,000 subjects and I am trying to establish whether the variance is equal. I first performed an F-test but then I realised the data is slightly skewed with kurtosis. So ...

I have been asked to report p-values for one of my model in R. In which cases should I use the F-test and in which cases should I use the chisq/LRT test?
...

Given a Full and Reduced model, the F-test to see if the reduced model is significant is given by
$$
{{SSE_R-SSE_F}\over{(n-q)-(n-p)}}/{{SSE_F}\over{n-p}}
$$
I'm trying to understand how this is ...

Why does it say data should be normally distributed for statistical analysis when different test follow its own distribution (i.e. t, Z, F)?
What does normality have to do with this?

I have studied famous submissions of the Kaggle: Understanding the Amazon from Space. I read the winner's interview.
He writes:
This is a multi-label classification challenge, and the labels are ...

Does it combine different features and calculate the F-value between them or does it does calculate the F-value for one feature?
If someone could point me to a source a book that explain this, that ...

In response to an article by Bland and Altman, the response author suggests running an F-test on the average within-group variation of repeated measures for each patient when device A was used and ...

I have a proposed a model for Corporate Social Responsibility determinants (not important).
Among my independent variables I obtain two that are statistically not significant.
Following Wooldridge ...

I'm conducting some multivariate analyses and I'm wondering why MANOVAs have two test statistics. For example, pasted below is an image of output usually produced by (I think) SPSS software. From what ...

I have been wondering about the F test that is provided by many statistical packages along with the standard regression output. As I understand it, F can be computed by
$$
F_{df_{reg},df_{res}} = \...

if for example, we define the significant level at P<0.05 and the F calculated was equal to F tabulated. now the question is does we consider it significant or not?
I did not find a refrence answer

Do I need to account for heteroskedasticity when performing the (vector) AR1-2 test?
The Autocorrelation (AR) 1-2 test is defined as follows - often referred to as the Breusch–Godfrey test (Wiki link)...

The "Sig." column in SPSS output for t-test is a two-tailed p-value, i.e. if one want to decide whether to reject a null hypothesis, they need to compare the predetermined significant level with the "...

Does F-test for the overall significance of the OLS model reflect the overfitting from the inclusion of multiple regressors? For example, does the inclusion of noise as additional regressors to a ...

I have two models of the following formlmod1 <- lm(response ~ predictor1 + log(predictor2))
lmod2 <- lm(response ~ predictor1 + predictor2)The question ...

I have two batches of 10 samples each of nominally the same component, each batch made via a different manufacturing technique ("old technique" and "new technique", where the new technique is cheaper ...

I have two groups, each with 6 observations. One group was generated by an old test method. The other group was generated by a new test method. I would like to test if the new method produces more ...

I was looking into ways to compare two datasets, how different are they in shape, spread, mean, variance etc and I come across the f test. If I understood correctly it uses the null hypothesis to ...

I have a question about F-test Stepwise regression.
https://en.wikipedia.org/wiki/F-test
Regression problems
When doing F-test stepwise regression,
F statistic is calculated as below.
The right side ...

I am studying Response Surface Methodology (by Myers, Montgomery, and Anderson-Cook). When introducing the significance testing for regression parameters, an $F$-test is introduced but only partially ...

How are $H_0$ and $H_1$ linked to the F value in the following cases? I understand how each of $H_0$ and $H_1$ gets more likely depending on F-value, yet I was trying to find more of a mathematical ...

Let me start out by saying I'm somewhat of a novice at statistics. I've had some formal training but it was rather patchy, and I'm aware I'm ignorant of many key concepts. I'm having to "learn on the ...

I've so far seen ANOVA used in two ways:
First, in my introductory statistics text, ANOVA was introduced as a way to compare means of three or more groups, as an improvement over pairwise comparison, ...

my question is, to some extent, related to this question.
Assume I have two datasets of dose response curves with 5 replicates for each data set. I want to do a model comparison using an F-test and ...

I would like to use an F-Test for Equality of Variances on a variable to compare two groups. Normally, this would be done with an sdtest command in Stata or a ...

I have to solve the following problem:
After data cleansing and using ordinary least squares we derive the following formula:
$\hat{Y}_i=3,85+0,78X_i$
where $Y_i$ is the price of a stock of the i-...

As the title states, I don't see how this is the case from the charts. I don't see how the F-ratio (with $1$ and $v$ d.f.) is equal to the square of the t-ratio (with $v$ d.f.).
Example:
Lets say we ...

In panel regression, the Wald-style F test for joint significance of the regression coefficients is usually done with an adjustment for the degrees of freedom when robust/clustered standard errors are ...

I was reading this article (Kim and Cohen, 2010 [1]), and realized that the authors used chi-square test to test the significance of two-way ANOVA on page 541 (1st paragraph of "Results and Discussion"...

While reading this blog on f-statistic in ANOVA, I stumbled upon the formula:
The f-statistic is calculated like this: $$\frac{\text {variance
between groups}}{\text {variance within groups}}$$...

I want to sanity check some results. I've run a TY causality test following the Toda-Yamamoto (TY) procedure as described by Dave Giles in his blog post "Testing for Granger Causality". One variable ...

Please help with the following questions.
a. In the MANCOVA, how is a post hoc analysis conducted
b. In the MANOVA, the dependent variables must be...
c. Using the MANOVA, if the sufficient number of ...

Stats newbie here.
Is there any meaning to the critical F value if the two samples have the same degrees of freedom?
For example, I have 2 sets of data, each with the same number of degrees of ...

I have a fairly simple question regarding the interpretation of the F-test in Microsoft Excel.
Let't say these are the results of my F-test:
I am now wondering how to interpret it in order to choose ...

Suppose we can choose from two different catalysers. 10 observations are taken from the first one and 12 from the other one. If $s_1 = 14$ and $s_2 = 28$, can we reject at $\alpha = 5\%$ the ...

The F-statistic/test can be used for feature selection, e.g. from http://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html#sklearn.feature_selection.f_classif
ANOVA ...

I have a single time series which will be divided on the date of the change before and after.
I want to compare the variances between the two time sections and I am told to do an F test of residual ...

Take a linear regression setup with two "blocks" of predictors. The typical measures for the contribution of each block over the other are asymmetric (say, likelihood change, RSS change etc.). Is ...

For independent reasons, I'm working on two bootstrapped datasets, A and B, of the same size, each consisting of a 1000 samples. To compare the distributions of A and B, I ran a Fischer F-test on ...

- regression
- hypothesis-testing
- anova
- t-test
- r
- variance
- multiple-regression
- statistical-significance
- chi-squared
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- self-study
- f-distribution
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