Summary of Population and Estimated Parameters, Clearly Explained!!!
The video explains the concept of population parameters in statistics, using the example of counting mRNA transcripts in liver cells.
A histogram is used to visualize the data distribution, which can be used to calculate probabilities and statistics.
The normal distribution is a good approximation for the data, with the mean and standard deviation representing population parameters.
Different types of distributions like exponential and gamma can also represent population data.
population parameters are usually estimated from a sample, with the goal of ensuring reproducible results in future experiments.
The more data available, the more confidence we can have in the estimates of population parameters.
P-values and confidence intervals are used to quantify confidence in estimated parameters.
The ultimate goal is to generate results that are reproducible in future experiments.
confidence intervals are recommended for further learning on quantifying confidence in estimated population parameters.
Speakers/sources
Notable Quotes
— 00:18 — « Josh stormer and welcome to stat quest »
— 02:58 — « in this case there are 38 billion cells with 30 or more transcripts and we divide that by 240 billion »
— 03:15 — « since we got the same value with the histogram it means the normal curve is a good approximation of the real data »
— 08:58 — « I can tell you that the estimated population mean is seventeen point six and the estimated population standard deviation is ten point one »
— 09:27 — « the estimated population mean is nineteen point two and the estimated population standard deviation is twelve point seven »
Category
Educational