They are, if the sampling and replacement processes don't introduce any bias.
A sample is a small part of something that's shown to you to help define the full product.
In math, a biased example could be when, someone asks only males to answer "do you like this product." its when the people chosen to answer the survey/sample is not random
A synonym of introduce is acquaint. An antonym of introduce is close.
how to introduce a person
It was introduced in 2005.
Coco Chanel was the first fashion designer to introduce a perfume. BTW did u get this question from TIME FOR KIDS.
what do i say to introduce a christian speaker
perfume
This perfume was created around 1920. It was the fifth sample bottle presented to Chanel and was ultimately chosen as the final perfume.
Larger sample sizes in statistics is only function to further improve the accuracy of your statistics since they include data from a larger source. Also be gathering more data, they can further conclude their statistics accuracy or vice versa. However, this can only apply if your sample is random If you sample is biased it means your sample is not random and was selected a particular group. Take example as a manufacture of Perfume A, you want to do a survey to see what do people like in perfumes to better your product. By taking a sample of 100 people will definitely be able to increase accuracy of your stats compared to taking a sample of only 50 ppl. However, the accuracy is limited if your 100 sample is not random. If you 50ppl is random, it might actually provide more accurate assessment on what people like in perfumes. Example of a non-random sample is that you provide survey question list to all those who made payment at your counter when you sell Perfume A. This is biased because your stats only include those who are interested in your product only. Chances is, your survey will contain only good points of your perfume since they preferred your perfume over others. It doesn't matter if it is a 100 or 500 samples because the outcome is that they will prefer your perfume over others - if not why buy it from your store? You won't be able to reach your goal to improve your product. If you survey was done randomly on shoppers maybe at the information counter of a mall, you will get access to variety of people including some who preferred stronger perfume, or some preferred natural smell perfume and some might not like perfume at all. Larger sample size therefore do increase you accuracy but it doesn't fix your stats from bias if your sample is not random to begin with. Hope you understand.
how to introduce a president in the company?
to introduce what i am going to do
you can get a free sample of perfume sometimes when they want you to try it if it's good
Feasibility study of SH1t as a perfume
I would advertise a perfume product by internet, magazine, television, posters, and homes demos, at beauty salons, and some business as a display.
everybody, I would like to introduce you to this wonderful spray paint product. Or did you mean who or what company first produced it?