Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Simple Random Sampling
In Simple Random Sampling each possible sample has an equal chance of being selected. Further, each item in the entire population also has an equal chance of being selected.
Example A retailer of electronic goods (TVs, Stereos, Videos) wants to study her customer purchases in the city of Mumbai. For this purpose her population is all her customers in Mumbai. Their names and addresses are on the carbon copies of bills in her bill book. To do a Random Sampling of her customers she can put all the carbon copies in a box and draw out a certain number of copies after thoroughly mixing them up. The customers so picked would form a Random Sample. In a more refined manner, she can enter the bill numbers in her computer and command it to select bill number at random. The customers related to the bill numbers so selected would form a Random Sample. (If she wanted a judgemental sample she would have scrutinized the bill copies and selected certain customers whom she considered a representative sample. However, the accuracy of the estimate so made cannot be found.)
Example
A retailer of electronic goods (TVs, Stereos, Videos) wants to study her customer purchases in the city of Mumbai. For this purpose her population is all her customers in Mumbai. Their names and addresses are on the carbon copies of bills in her bill book. To do a Random Sampling of her customers she can put all the carbon copies in a box and draw out a certain number of copies after thoroughly mixing them up. The customers so picked would form a Random Sample.
In a more refined manner, she can enter the bill numbers in her computer and command it to select bill number at random. The customers related to the bill numbers so selected would form a Random Sample.
(If she wanted a judgemental sample she would have scrutinized the bill copies and selected certain customers whom she considered a representative sample. However, the accuracy of the estimate so made cannot be found.)
Example of discrete random variable: 1. What is a discrete random variable? Give three examples from the field of business. 2. Of 1000 items produced in a day at XYZ Manufa
simplified formulae
The State Department of Taxation wishes to investigate the effect of experience, x, on the amount of time, y, required to fill out Form ST 1040AVG, the state income-averaging form.
Features of index numbers
a 100 squash balls are bounce from height of 100 inches with average height 30 inch with standard deviation 3/4 inch. a ball is fast if bounce above 32 inch. what is chance of gett
A researcher is interested in comparing the effectiveness of three different parts of therapy for anger problems. 8 participants are randomly assigned to 3 treatment conditions: Co
Different analyses of recurrent events data: The bladder cancer data listed in Wei, Lin, and Weissfeld (1989) is used in Example 54.8/49.8 of SAS to illustrate different anal
Suppose the money supply process is now represented by the following function: where m measures the sensitivity of money supply with respect to the interest rate. (i) Us
Flow Chart for Confidence Interval We can now prepare a flow chart for estimating a confidence interval for μ, the population parameter. Figure
1. Use the concepts of sampling error and z-scores to explain the concept of distribution of sample means. 2. Describe the distribution of sample means shape for samples of n=36
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd