Questions tagged [shapiro-wilk-test]
The shapiro-wilk-test tag has no usage guidance.
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What test is appropriate for normality of continuos data grouped in bins
I have a data set of continuous data.
From 1000 observations, the resulting dataset is only 29 rows and two columns: the range (starting point) and the count.
Pearson - Weldon crabs dataset
range
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Why is my data not normally distributed while I have an almost perfect QQ plot and histogram?
I am doing a thesis and I am stuck with my statistics on time series data. And when I run a Shapiro test, or any test, it says:
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Test for gaussian mixture fit when component assignment is known?
I have a process 𝑃 generating random variables X_1, ... X_n. From each of these I've sampled a set of samples ...
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QQ plot result doesn't correspond to normality test [duplicate]
I am considering an ANOVA model for such data:
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Statistical analysis - Shapiro-Wilk test?
I apologize if this question will seem odd, but I am quite new to statistical analysis.
I performed coinfection experiments with a total of 12 conditions, and I have 3 measurements per condition.
I ...
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R: Shapiro-Wilk test yields different results in descriptives and in One-Way ANOVA
I got a dataset of 60 people from a between-subject approach that I was trying to check for normality. (Since I need information about normality for ANOVA post-hoc tests.) They were split in three ...
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Shapiro Wilk test of normality
I ran my data under JASP and the p-value for the shapiro wilk test of normality was <.001. How do I interpret this?
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How to transform a set of negative values to obtain a normal distribution? [duplicate]
I am having quite a few problems with transforming a set of data with values between -1 and 0, as I need to normalise them.
I tried to use the following formulae:
[(𝑥−min(𝑥))/(max(𝑥)−min(𝑥))]
AND
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Is there a way to calculate peaks of a distribution mathematically?
I’m trying to find some way to mathematically calculate the number of peaks in a distribution. I know there are various tests (such as Shapiro Wilk) that assess whether a distribution is normal, but I’...
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Two-Way anova assumptions not fulfilled
My task is to determine whether two different categorical variables (residence location (city/rural) & residence size (small/medium/large)) have a connection on one numeric variable (residence ...
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if I have a variable in my data that is not normally distributed, could I still use an ANOVA if my sample size is large enough?
I have a sample size that is more than 30 but one of my continuous variables is not normally distributed. The Shapiro-Willk test does say that my data is not normally distributed. I am going to ...
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Small Sample - Confidence Interval Mean
I have a sample size of 14 and I plan to measure confidence intervals for the mean of different characteristics. I can say this about my data:
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How to account for survey design when testing for normality with Shapiro- Wilk's test
I am trying to test for normality of my outcome variable using R.
I used the following code shapiro.test(df$outcome_variable).
However, my data set df is survey ...
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Concept Clarification: Wilcoxon rank test vs two-samples T-test (UPDATE)
I am currently deciding whether to use the Wilcoxon rank test vs two-samples T-test to assess BMI between two unrelated groups. Using the following code to assess normality ...
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Best statistical test to compare two groups when they have different distributions
I am teaching myself to use and apply statistics to a big database.
I have 2 groups that I wish to compare, healty controls (HC) and patients (P).
The sizes are HC= 84, P= 196.
Each group has many ...
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If the assumptions of ANOVA fail to reject at 99%, how can that be applied?
I think I am on the right track, but I would rather know.
Initially, when the results of Levene's and Shapiro's were significant at 95%, I tested and investigated the data in various ways. I used ...
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Confused about testing my data for normality
I am starting some quantitative analysis of a dataset. My sample size is just over 100 (approx 110) and before doing the descriptive stats I attempted some normality testing to determine if I should ...
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Testing the Central Limit Theorem with the Shapiro-Wilk test on dice rolling simulations
Rolling a single dice repeatedly will result in a uniform distribution. But if we roll multiple dice the sum would be the Normal distribution due the Central Limit Theorem (CLT).
To verify this, ...
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Shapiro -Wilk assumptions
I am doing statistical analysis in a df and I am trying to check the normality of the data. I did the Shapiro Wilk test. I think I have to check if the data meets some assumptions, this is the case in ...
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Intraclass correlation with skewed dataset
There is data on 20 people taking the same test 5 times each to look at the repeatability of the test.
I understand that intraclass correlation is usually the best test to use to look at a question ...
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Does the effect size of a normality test determine whether the normality assumption can be ignored for parametric tests with large samples?
Reading this question and this question and the answers and comments, I have another question. Does the effect size of a normality test determine whether the normality assumption can be ignored for ...
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How to test if data follows a half-normal distribution?
There are many ways to test if the data comes from normal distribution. like this post
But the question is how to test if the data follows half-normal distribution?
I know Ks-test, but as the post ...
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Shapiro–Wilk normality test
I'm trying to check for normality using Shapiro–Wilk normality test.
I have a two-way ANOVA (2x3) and would like to run this test on each of the 6 groups.
Which function should I use to be able to run ...
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Can we use the R square of the q-q plot as the Shapiro Wilk effect size?
The q-q plot is a nice way to see a deviation from the normality.
But this is only "eye estimation"
Can the R square of the linear regression be the effect size of the deviation from the ...
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Data didn't pass normality testing for K-W and S-W but the skew and kurtosis were within range...advice please?
I am conducting a study on the relationship between rural/urban living, intentions and barriers to help seeking in adult males. I was planning to conduct a correlation and then pending that result, a ...
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Three different dep. variables are significant on the Shapiro-Wilk test. That's not good. Is there anything I can do to show normality assumption?
My DVs (Facefactor, Legfactor, UpperBodyFactor) are showing sig. results on Shapiro-Wilk, meaning they are not normally distributed. The histograms look rather normal however. Is there any way to show ...
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Quantitatively, how powerful is Shapiro-Wilk or other distribution-fit tests for small sample sizes?
I'm looking for an analysis (I assume a book or website, but feel free to put it all in comments here) that provides an in-depth discussion of the power/accuracy of normality assessments such as ...
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Discrete value - Normal distribution [duplicate]
I have a data with discrete values and need to find if it is normally distributed. I plotted the graph and it looks normal and then I performed shapiro wilk test where the result were W = 0.78773, p-...
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Shapiro-Wilk test on transformed data
I used RStudio to perform Shapiro-Wilk test for normality. In the following data set calling it $D$, I have performed Shapiro-Wilk test for normality with p-value=0.7698.
34.681 26.291 33.280 36.169 ...
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p-value for Shapiro-Wilk is high but data doesn't appear normal
I'm a beginner at stats and I'm trying to understand p-values for paired t-test and Shapiro-Wilks using the JASP Moon and Aggression data set (hope the screenshot resolution is ok - click on the image ...
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What test is appropriate for normality?
I would like to check the normality of nearly 400 individuals. I tried many test like Shapiro test, etc...but, not much expected results. So, Could you please tell me what is the appropriate test for ...
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Why is the Shapiro-Wilk $W$ statistic defined the way it is?
In the original paper (section 2.2.), we can see that derivation of the $W$ statistic goes along these lines:
Let let $m_i$ be the expected value of the $i$-th order statistic of a random sample of $...
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Limitations of Shapiro test
Are there any possible limitations to the Shapiro test or the shapiro.test() function? After removing outliers in a data set it seem that using the ...
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Compare Z-scores (weight) before / after with a T-test?
I'd like to ask you if it's possible to perform a T test to calculate Z-scores ( weight of persons ) https://www.cdc.gov/growthcharts/clinical_charts.htm
with a t test in the same group ( paired t ...
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Reasoning for tranforming linear model to log-level
I have a multiple linear regression model and found that my error terms are not normally distributed. When looking at the histogram of the dependent variable, it looks like below.
I am not sure how ...
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Understanding the Shapiro-Wilk normality test
I am trying to learn how to check if the distribution of values in a set is normal or not. Making a histogram and a boxplot shows:
Performing the hapiro-Wilk normality test I get:
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My normality plot and Shapiro's test say different things
I have an LMER, and I want to check for normality; my plots show this:
However, my shapiro test shows this:
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Performing a shapiro-wilk test on residuals from an LMER and repeated-measures ANOVA
I would like to perform a Shapiro-Wilk test on my data which takes the form of an LMER.
The LMER model is named lmerabsolute.
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Can a sample larger than 5,000 data points be tested for normality using shapiro.test by applying the test to a subsample?
I have a number of samples that I would like to test for normality. One of the samples exceeds 5,000 data points, the limit up to which the shapiro test accepts samples.
This is the data:
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Alternatives to Pearson's correlation given small sample size and normality hypothesis rejected?
I would like to use Pearson's $r$ to determine the correlation strengths among around $20$ variables. Unfortunately, I had to reject the hypotheses that the data from some (around $5$) comes from ...
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Checking the normality of a large sample?
If I want to analyze a large sample size (N = 50.000) of continuous data ($ revenue) from an A/B test, what would then be the best way to check for normality?
Thanks in advance!
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If a sample is not normally distributed, can a subset of the sample be normal?
I have used a Shapiro-wilk test on all of my data and the results show that it is not normally distributed. However, could this mean that a subset of my data could still be normally distributed?
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What is the difference between Shapiro-Francia and Shapiro-Wilk tests of normality?
I apologize for this easy/basic question. Please forgive me if this is a duplicate question.
I've been researching the Shapiro-Wilk test (1965) of normality for a project. In doing so, I found an ...
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Interpretation of Shapiro-Wilk test
I'm pretty new to statistics and I need your help.
I have a small sample, as follows:
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