How to compare different groups with different sample size?
I am plotting students' data from different schools to see the difference between male and female student numbers at some majors. I am using python, I already plot the data for some schools and as I expected male numbers are genuinely higher, then I realized that for each school I have a different number of total students. does my work make any sense when the sample size is different? if not may I have some suggestion to make some changes.
Now I'm realizing.
Look: you have two classes where the first has 2 men, the second one - 20 men. And their marks. 2 men - both are 90/100. And 20 marks in the second one. Let it be a range from 40 to 80. Will it be correct if we say "Well, the first class made the test much better then the second"? Ofc, not.
To solve this problem just take a min(sizes of samples). If it looks too small, so throw away this programm, because you have not enough data to say something. And put a total size of sample via proxy legend or text, or add it in title. Anyway it will show you reliability of your results.
- How do I easily find boxplot outliers
- Django & Postgres - percentile (median) and group by
- Create lm-class object with cluster bootstrap in it (R), or: cluster bootstrap for sensemakr()
- Pandas - select dataframe columns if statistic is greater than certain value
- how to check the normality of data on a column grouped by an index
- In R, how to impute left-censored missing data to be within a desired range (e.g. 0<imputed_value<0.2)
- Adding google analytics code to all pages
- How can I get the value of x through a given value of y when using R language for linear regression?
- Trying to optimize my ARPLS implementation
- How to perform a polynomial regression from N-dimensions set of samples in Python?
- 2x2 interaction plot when you only have summary statistics for each group
- How to find point inside an ellipse?
- How to sample from a distribution given the CDF in Python
- Probability density function for a set of values using numpy
- Python Mann-Whitney confidence interval
- R: monte carlo binomial gambling simulation
- Discrepancy between Python and R calculation of a robust covariance matrix
- Finding probabilities of patterns in asset price movements based on multiple variables
- Scipy Gumbel Fit does not Fit - What is the correct shape of the array / dataframe to use?
- Count the number of columns that have a value above a threshold
- profilepl() for complex hybrid Gibbs models
- Statistical significance on matplotlib / seaborn graph?
- Finding quartile in Python given mean, std.dev
- How to calculate probability in a normal distribution given mean & standard deviation?
- Trying to rule out astrology but something is wrong
- calculating Gini coefficient in Python/numpy
- App to track which person in the conversation has spoken the most
- How to Clear down Query Execution Statistics in SQL Server 2005/2008
- What are your top SAS PROCs for beginners?
- Python - Check if the last value in a sequence is relatively higher than the rest