Linked Questions
19 questions linked to/from What is your favorite "data analysis" cartoon?
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Statistics Jokes
Well, we've got favourite statistics quotes. What about statistics jokes?
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What are common statistical sins?
I'm a grad student in psychology, and as I pursue more and more independent studies in statistics, I am increasingly amazed by the inadequacy of my formal training. Both personal and second hand ...
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6
answers
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What is your favorite statistical graph?
This is a favorite of mine
This example is in a humorous vein (credit goes to a former professor of mine, Steven Gortmaker), but I am also interested in graphs that you feel beautifully capture and ...
48
votes
8
answers
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Pitfalls in time series analysis
I am just starting out self-learning in time series analysis. I have noticed that there are a number of potential pitfalls that are not applicable to general statistics. So, building on What are ...
63
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3
answers
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Explain the xkcd jelly bean comic: What makes it funny?
I see that one time out of the twenty total tests they run, $p < 0.05$, so they wrongly assume that during one of the twenty tests, the result is significant ($0.05 = 1/20$).
xkcd jelly bean ...
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3
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Significance contradiction in linear regression: significant t-test for a coefficient vs non-significant overall F-statistic
I'm fitting a multiple linear regression model between 4 categorical variables (with 4 levels each) and a numerical output. My dataset has 43 observations.
Regression gives me the following $p$-...
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4
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Which to believe: Kolmogorov-Smirnov test or Q-Q plot?
I'm trying to determine if my dataset of continuous data follows a gamma distribution with parameters shape $=$ 1.7 and rate $=$ 0.000063.
The problem is when I use R to create a Q-Q plot of my ...
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5
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Is a p-value of 0.04993 enough to reject null hypothesis?
In a Wilcoxon signed-ranks statistical significance test, we came across some data that produces a $p$-value of $0.04993$. With a threshold of $p < 0.05$, is this result enough to reject the null ...
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What is randomness?
In probability and statistics, the concept of "random" and "randomness" are frequently used. Often the concept of a random variable is used to model events that occur due to chance.
My question ...
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machine learning techniques for longitudinal data
I was wondering if there were any machine learning techniques (unsupervised) for modelling longitudinal data? I've always used mixed effects models (mostly non-linear) but I was wondering if there are ...
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2
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Should I report the descriptive statistics in publication before or after outliers removal?
I have already removed three outliers from the ANOVA and ANCOVA analysis to improve the models. I want to report the descriptive statistics and p-values.
First I removed these outliers, and then I ...
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Average of root mean square error
Is taking the average of different rmse valid? for example
average rmse = (rmse1+rmse2+rmse3)/3
Thank you for your help!
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Problems with modeling a cumulative dependant variable
I am building a .NET program. One of its functions is to provide a predictive model for a vehicles life-to-date maintenance costs, basically what is the cumulative cost(Y) for a vehicle at specific ...
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2
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Compute a Pvalue from the averaged Pearson and Spearman rho
On the one hand, Pearson correlation is sensitive to outliers, while Spearman is not. On the other hand, if you have quantitative data, Spearman will treat it like ordinal data.
How about averaging ...
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3
votes
1
answer
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What is not normal distribution?
I am running analyses for my dissertation and just got myself in a muddle. I am running descriptive stats to determine whether to use paired t-tests vs Wilcoxon signed rank tests. I've read that it ...
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