Which Statistical test should I use

  • Context: Undergrad 
  • Thread starter Thread starter Link
  • Start date Start date
  • Tags Tags
    Statistical Test
Click For Summary
SUMMARY

The discussion focuses on selecting the appropriate statistical test for calculating the probability that a randomly chosen number from a normally distributed sample is greater than a specified value. The sample, ranked from 10 to 1, is assumed to be large enough to follow a normal distribution. Key steps include estimating the population mean and variance using the normal estimator and chi-square estimator, respectively. The Shapiro-Wilk test is recommended for verifying the normality of the data before proceeding with further calculations.

PREREQUISITES
  • Understanding of normal distribution and its properties
  • Knowledge of point estimation techniques for mean and variance
  • Familiarity with the Shapiro-Wilk test for normality
  • Experience with statistical software packages for calculations
NEXT STEPS
  • Research normal distribution estimators for mean and variance
  • Learn how to perform the Shapiro-Wilk test using R or Python
  • Explore probability calculations for normally distributed data
  • Study the implications of non-normality in statistical analysis
USEFUL FOR

Statisticians, data analysts, and researchers who need to perform probability calculations and validate assumptions of normality in their datasets.

Link
Messages
132
Reaction score
1
I have a number series ranked from largest to smallest in descending order from 10 - 1. the sample is assumed to be large enough to be normally distributed. If I pick say the 8th number from the top, which statistical test should I use to calculate the probability/C.I that the number picked is larger than a certain number, say 9?

It can be assumed that the mean and standard deviation of the sample is known
 
Last edited:
Physics news on Phys.org
Hey Link.

The first thing to do is to estimate the population mean and variance. If you are assuming a normal distribution, you can use the normal estimator for the mean and the chi-square estimator for the variance.

Once you have these estimators, you'll probably be choosing your point estimate (but remember the estimate is an uncertain thing so you will only get one out of very many: infinitly possible means both positive and negative and infinitly many variances greater than 0).

Then once you find an estimate to use for your population mean and variance, you use this information to get the final probability. The probability will correspond to whatever number you are picking, which will be in terms of standard deviations from the mean when dealing with a normalized distribution (which is used to do probability calculations for any normal).

It sounds like you haven't done much in the way of statistics, so look up estimators for normal distributions and how to estimate the mean and variance of the population of a normal distribution given a sample that assumes normality.

You should also probably inform the readers here why you assume its normal. The fact is that it may not be normal and that the assumptions you have do not reflect the reality of the data.

One test that is popular for checking whether something is normal under a measure of uncertainty is the Shapiro-Wilk test that can be done in any common statistics package, and you can use the same package to do the estimator calculations for you as well.
 

Similar threads

  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 24 ·
Replies
24
Views
7K
  • · Replies 30 ·
2
Replies
30
Views
4K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K