Question

Which of the following type of sampling is an example of 'stratified random sampling'? A. Collecting...

Which of the following type of sampling is an example of 'stratified random sampling'?

A.

Collecting data on retail store sales by asking for volunteers from one country
B.

Collecting data on retails store sales by obtaining data from stores selected by your boss
C.

Collecting data on retail sales across the globe with stores selected at random
D.

Collecting data on retail store sales by country and taking a random sample within each country for data
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

The correct scenario for the stratified random sampling is option,

D) Collecting data on retail store sales by country and taking a random sample within each country for data.

Explanation : In stratified random sampling we divide the whole population into homogeneous group these groups are called as strata. Then select a random sample from each group. This is the technique for stratified random sampling.

In our scenario the retail store sales by country we divided the whole country in homogeneous group i.e State wise. and then select the sample from each group at random.

This procedure is called as stratified random sampling.

Other options or scenario are not appropriate for stratified random sampling.

Hope you understood then please RATE POSITIVE ?.

Thank you.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Five different sampling methods are described below. Choose the one that defines stratified sampling. 1. Select...
Five different sampling methods are described below. Choose the one that defines stratified sampling. 1. Select members of a population by asking for volunteers, or otherwise find a sample that is easy to obtain and is not based on randomness or chance. 2. Order the population, select a random starting point and interval, then select individuals every interval from the starting point until the desired sample size is achieved. 3. Take a sample of size ?n from a population in...
In stratified sampling, a random sample of subgroups is selected and all members of the subgroups...
In stratified sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample. True False In stratified sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample. True False Non-probability sampling may not be representative of the population, thus it does not allow the researcher to explicitly identify possible biases. True False The object of sampling is to obtain data that is representative...
1a.) Stratified Random Sampling involves: a. Dividing the population into overlapping groups b. Taking a random...
1a.) Stratified Random Sampling involves: a. Dividing the population into overlapping groups b. Taking a random sampling of a percentage of the pre-chosen groups (usually 10% of total groups) c. Choosing non-overlapping clusters (i.e. streets of a city) and collecting data from all members of the selected cluster d. None of the above 1b.) A data set consists of the values 2, 6, 3, and 1. If we consider this a population (all the values available), the variance is a....
Quota sampling: Select one: a. involves taking a stratified sample in which the number of sampling...
Quota sampling: Select one: a. involves taking a stratified sample in which the number of sampling units drawn from each stratum is in proportion to the relative population size of that stratum b. ensures that certain characteristics of a population sample will be represented to the exact extent that the researcher desires. c. obtains units or people who are most conveniently available. d. selects an initial starting point by a random process, and then selects every nth number on the...
What is the type of sampling method used for the following. Is it Systematic, Stratified, Cluster...
What is the type of sampling method used for the following. Is it Systematic, Stratified, Cluster or None of these? Is it a random sample, yes, no , or not enough info? I randomly select 10 male and 10 female students to be in a survey on whether or not they like my statistics class. Does this qualify as a random sample? Yes No     not enough information
Identify the type of sampling​ used: random,​ systematic, convenience,​ stratified, or cluster. To estimate the percentage...
Identify the type of sampling​ used: random,​ systematic, convenience,​ stratified, or cluster. To estimate the percentage of defects in a recent manufacturing​ batch, a quality control manager at IBM selects every the 12th computer that comes off the assembly line starting with the until she obtains a sample of 90 computers
Which of the following is an example of stratified sampling? A sample of 351 people called...
Which of the following is an example of stratified sampling? A sample of 351 people called a radio show to express their opinions about the verdict in the Michael Jackson trial. In order to assess students' satisfaction with the food establishment on campus, the first 50 students that come out of the student center were interviewed. A poll asked a random sample of 1,112 adults whether they believe that the use of marijuana for medical reasons should be legalized. A...
Identify the sampling strategy used in each scenario. Select from simple random, systematic, stratified, cluster, convenience,...
Identify the sampling strategy used in each scenario. Select from simple random, systematic, stratified, cluster, convenience, or state that this is not a random sampling strategy. a. Names are written on ping-pong balls, then the balls are mixed and drawn at random. b. The population of those on campus are divided into students, faculty, and staff. A proportional number are then randomly selected using simple random sampling from each of the three groups. c. Individuals are lined up and every...
Question 2. Which of the following describes stratified random sampling? Explain why it is correct and...
Question 2. Which of the following describes stratified random sampling? Explain why it is correct and why it is incorrect The first 95% of the people who respond to a mailed survey make up the sample, while the remaining 5% are not included because they constitute the 5% late-error-rate. The first half of a volunteer sample that shows up is put in a group together-and the second half is grouped together. Thus, we are left with a sample with two...
Question 2. Which of the following describes stratified random sampling? Explain why it is correct and...
Question 2. Which of the following describes stratified random sampling? Explain why it is correct and why it is incorrect The first 95% of the people who respond to a mailed survey make up the sample, while the remaining 5% are not included because they constitute the 5% late-error-rate. The first half of a volunteer sample that shows up is put in a group together-and the second half is grouped together. Thus, we are left with a sample with two...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT