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1 vote
2 answers
383 views

Reading the chi-square table

For solving problems involving the chi-square distribution in my syllabus, we use this $\chi^2$ statistical table. However, I have a doubt in reading it. Suppose there is an experiment where a die is ...
24 votes
7 answers
20k views

Appropriate normality tests for small samples

So far, I've been using the Shapiro-Wilk statistic in order to test normality assumptions in small samples. Could you please recommend another technique?
1 vote
0 answers
137 views

Convergence rate of test-statistic to chi-square distribution

I know that the to test whether $\Sigma=\Sigma_0$ against $\Sigma\ne\Sigma_0$ for an $n\times p$ data matrix, the test statistic is $np(a-1-\log g)$ where $a$ and $g$ are the AM and GM of the eigen ...
0 votes
0 answers
1k views

Choosing bins for chi-square testing distributional fits for distribution similar to normal/heavy-tailed

Chi-squared test can be used to check the hypothesis, that given sample is from the given theoretical distribution. If the distribution is continuous then we should properly choose bins. Question 1 : ...
2 votes
0 answers
85 views

goodness of fit for psychometric data (perceptual threshold)

I'm running an experiment on perceptual thresholds in audio. I'll try not to bog you down with too many details: The experiment is about vibrato speed; specifically, when can you tell the difference ...
4 votes
1 answer
236 views

Is there a G-test equivalent for continuous variables?

The G-test is similar to the chi-square test for goodness of fit. It is proportional to the kl-divergence. I am wondering if there is a similar test that is applicable to continuous variables. Since ...
1 vote
1 answer
57 views

Most appropriate statistical test to compare frequencies within and between treatments

I am working with a dataset that includes demographic variables (age and sex) and purchase details for services related to body ornamentation (tattoo location, piercing location, tattoo type, etc.) ...
0 votes
0 answers
19 views

Determining trend statistic for two time series

I have two time series: one with reported scatter plot points, and a solid line that represents a fit to the data based on other variables. Here: https://docs.google.com/document/d/1gizOAV8ZjaATLm-...
0 votes
0 answers
253 views

Chi-squared test, Poisson distribution, type I error overestimated - well-suited test for discrete distributions?

UPDATE I edited my original question to make it as clear as possible. My goal is to find a reliable goodness-of-fit test for Poisson-distributed samples. There are a few discussions here related to ...
1 vote
1 answer
159 views

goodness-of-fit and bootstrap

Assume one has two data samples: $X = \{ x_{1}, \dots, x_{n} \}$ and $Y = \{y_{1}, \dots, y_{m}\}$. Next, we aim to check if the data $Y$ was generated by the same data generating process (DGP) as $X$ ...
0 votes
1 answer
29 views

Is it possible to calculate a p-value from a modified test?

I was asked to fit a distribution to some data and calculate the goodness-of-fit and a corresponding p-value. I've been using Pearsons chi-squared test (chi2gof in matlab) to do this but my advisor ...
0 votes
1 answer
53 views

Wrong answer in basic goodness-of-fit test

I am following my lecture notes on this test: However, when I calculate the expression $2\log \Lambda$ (Python script attached below), I get $21.8$ instead of $44.9$, which is quite far off. The ...
0 votes
0 answers
218 views

Goodness of fit that puts high weight towards the tail of the distributions

I have two distributions A and B and I am looking for a goodness of fit test that measures how much the tail of A matches (or fail to match) the tail of B. Alternatively, I am looking for a test that ...
1 vote
1 answer
126 views

Comparing two discrete paired datasets

The problem: I am studying the estimated number of cases of malaria in regions of the world and found that both the WHO and IHME have their own estimates. I want to find if the difference between the ...
2 votes
1 answer
55 views

Statistical test to detect regional excess of observations compared to background observations

I have data on the protein position of genetic variants. I want to determine whether there is a region of the proteins with a significant excess of variants relative to controls. Consider this ...
0 votes
0 answers
31 views

How to decide between goodness of fit tests

I have a question on BIC and AIC. I have a data set and I need to test this data set if it fits various distributions (for example, Gamma or Poisson, etc.) I need to use AIC and BIC statistics for ...
1 vote
2 answers
399 views

What does goodness of fit tell us with skewed data?

"The goodness of fit test is a statistical hypothesis test to see how well sample data fit a distribution from a population with a normal distribution. Put differently, this test shows if your sample ...
6 votes
2 answers
1k views

Why there's never a good reason to use the Jarque-Bera test

This question was inspired by a comment made by @whuber in response to this question regarding the use of distributional tests. The comment stated there is never any reason to use [the Jarque-Bera ...
2 votes
0 answers
81 views

Goodness of Fit Test vs Testing RMSE

I have a bit of a broad question. It seems to be that there are two different approaches (Borrowing a bit of Breiman's Two Culture's paper) when it comes to testing if our data looks like our model. ...
2 votes
1 answer
342 views

Goodness of fit for two samples with uneven different sizes

I have 2 different samples and would like to test a hypothesis about some aspect of their distribution. The first sample has 11,000 observations but the second is just 150 outcomes. From graphically ...
2 votes
1 answer
197 views

Good Text for Shapiro-Wilk Test

I was wondering if anyone can give me some good texts for understanding the Shapiro-Wilk test. I'm searching for an intermediate level text, not too simple like the wikipedia page (it gives very ...
2 votes
1 answer
2k views

chi squared goodness of fit test to check for normality

I have the following data: I would like to use the chi-squared goodness of fit test to test whether it comes from a normal distribution. How shall I go about it? In particular, I would like to know ...
0 votes
0 answers
28 views

How do I determine goodness of fit for a test of n binary decisions?

Let's say I have $n$ pairs of items. For each pair I select one item over another due to some perceived trait. This could be anything, for example, identifying which image is brighter than the other ...
0 votes
0 answers
236 views

F test to determine lack of fit

Perform the F test to determine whether or not there is lack of fit of a linear regression function; use a significant level of 0.025. Compute the test statistic, reject region, and estimate the p-...
0 votes
1 answer
43 views

Goodness of fit test for a normal distribuition

I have the following exercise that shows $n=6$ numbers: $$ 1.40, 1.55, 1.35, 1.50, 1.29, 1.64 $$ Is data normally distributed at the 5% significance level? Surely $\overline{x} = 1.455$, $s=0....
5 votes
1 answer
7k views

Test if two gamma distributed populations are different

I have data from two populations of different sizes. Both have Gamma distributions with different shapes and scales (as estimated in R): ...
2 votes
1 answer
1k views

Deviance Statistic in HLM analysis

I am analyzing a multilevel model using the software HLM. I am trying to find out more about the Deviance statistic that I increasingly see being reported as a measure of the explanatory value/effect ...
4 votes
1 answer
2k views

Bootstrap for goodness of fit

Suppose I want to test whether a die is fair. I toss 60 times with outcome $X = (40,20,0,0,0,0)$ where $i$th coordinate denotes times of $i$th face occurs.Consider Hypothest test($\alpha = 0.05$): $$...
2 votes
0 answers
62 views

Can I test for inequality in H0 using chi square test?

Let's say I want to test whether an $n$-sided dice is not too unfair. In the standard chi-square test we test the zero-hypothesis $$ H_0\colon (p_1,\dots p_n) = (1/n,\dots,1/n) ,\quad\text{i.e.,}\quad ...
1 vote
0 answers
70 views

Goodness Of Fit Testing When Multiple Parameters Are Estimated

I am working with independent data points $X_1,...,X_N$ each of which, under my model assumptions, is a sum of exponential waiting times with different rates, and so should come from gamma ...
4 votes
1 answer
2k views

Chi squared test for goodness of fit

I have a signal coming from a measurement device (e.g., Volt vs., time) and perform a fit to the signal. I would like to do a goodness of fit test like the chi-squared test. However, I am not sure ...
1 vote
1 answer
909 views

A statistical test to check whether a set of data are Pareto distributed

I need to construct a statistical test which outputs the p value for the hypothesis, H0: Data are Pareto distributed Vs H1: Data are not Pareto distributed. I found a test in stack exchange, but it's ...
1 vote
0 answers
36 views

Goodness-of-fit test when the sample space is monotonically increasing [closed]

I came across this paper which develops a GoF test on data drawn from a circular sample space (i.e. it has cyclical support). I am now wondering if there is a parallel to monotonic supports (or if ...
1 vote
0 answers
22 views

Goodness-of-fit test applied to tuples in sequences/samples, instead of raw data

High level problem: I have two sequences of data. The first one is the reference, the truth, the second is one which contains missed values (due to measurement errors). I want a test which can ...
0 votes
1 answer
136 views

A test of whether a sample has a specified distribution

Suppose we have an iid sample $X_1, \dots, X_n$. We want to test if it has a standard normal distribution. One test statistic I learned from Brockwell and Davis's Introduction to Time Series and ...
0 votes
0 answers
284 views

How do I interpret the p-value from a Shapiro-Francia Test?

I have a situation where I have more than 50 samples in a given set of inputs and I cannot use the Shapiro-Wilk test as I don't have the numbers for the pyramid for $n>50$. I was then asked to use ...
2 votes
1 answer
2k views

How to compare two variables with different distributions?

I want to compare 2 independent variables, but the problem is that the first variable is normally distributed, while the second variable is not. What is the appropriate test in this case? Can I use an ...
1 vote
0 answers
2k views

Chi square test of goodness of fit with unknown parameters

$\chi^2$ test of good fit for multinomial distribution with known parameters uses test statistics $$ \sum\limits_{k=1}^K \frac{\left( X_k -n p_k^0 \right)^2}{np_k^0}, $$ where $K$ is number of ...
2 votes
1 answer
175 views

A powerful test for any distribution

Simulations by Razali et al (2011) showed that the Shapiro-Wilk test of normality provided the most power (at a fixed significance level) when compared to Anderson-Darling, Kolmogorov-Smirnov, etc. My ...
5 votes
1 answer
91 views

Test which one of two (mechanistic / non-regression) models fits the observations better

There's a large number of similar questions, but they mostly seem to be about regression models and deal with cross validation, comparison of nested statistical models via likelihood-ratio, etc. ...
8 votes
4 answers
62k views

Why do I get this p-value doing the Jarque-Bera test in R?

Doing a Jarque Bera test in R I get this result: jarque.bera.test(rnorm(85)) data: rnorm(85) X-squared = 1.259, df = 2, p-value = 0.5329 Does it mean that the ...
0 votes
0 answers
126 views

What criteria to use for goodness-of-fit test for normal distribution ?

There are several goodness of fit tests, may be chi-squared is most famous one, however it seems it is not a preferable choice to be used in the case of continous variables. There is an excellent ...
11 votes
1 answer
14k views

D'Agostino-Pearson vs. Shapiro-Wilk for normality

In the field I work in, there is a large amount of impetus to use Shapiro-Wilk testing as the default normality test (possibly due to NIST and some pubmed papers). I understand that one weakness of SW ...
1 vote
0 answers
56 views

Test for positional amino acid enrichment

I have a question about which statistical test to use for a particular research question. I am studying protein binding motifs (amino acid sequences that other proteins bind to), typically these ...
2 votes
0 answers
35 views

Compare the quality of distribution fits

I have two random variables $A$ and $B$ they are of different size. Both are well fitted as $\gamma$ distributions. My question is to find which one is more gamma like. Could You help me to solve ...
2 votes
0 answers
427 views

Anderson-Darling test for any distribution with unknown parameters

I have been spending the last two days trying to construct a solid answer to the question: What is the distribution that best describes my sample? I did the following: Plot the histogram (nomalized ...
21 votes
2 answers
17k views

Post-hoc test for chi-square goodness-of-fit test

I'm conducting a chi-square goodness-of-fit (GOF) test with three categories and specifically want to test the null that the population proportions in each category are equal (i.e., the proportion is ...
2 votes
0 answers
617 views

Is the Pearson goodness-of-fit test parametric or non-parametric?

In this question there was an interesting discussion concerning the Pearson goodness-of-fit test going on which was far from conclusive: Is there any statistical test that is parametric and non-...
2 votes
1 answer
4k views

Get p-value from fitdistrplus

Starting from this question How can I test if my observed PDF follows a binomial distribution? I have got the following binomial distribution: ...
0 votes
1 answer
88 views

Normality Test for a Random Sample on SPSS

I have created a random sample of 100 values in SPSS and need to now test for normality with an appropriate goodness of fit test. I am trying to do a One-Sample t-test via Analyze -> Compare Means -> ...