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IIBA Exam CBDA Topic 1 Question 13 Discussion

Actual exam question for IIBA's CBDA exam
Question #: 13
Topic #: 1
[All CBDA Questions]

An organization's customers are categorized based on the amount of purchases completed over the last 12 months. The analytics team would like to ensure the accuracy of their survey results and decide to randomly select 500 customers to participate in a survey from this large pool of customers. This is an example of:

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Suggested Answer: B

The Gaussian distribution, also known as the normal distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graph form, the Gaussian distribution will appear as a bell curve, which is the case with option A. It is characterized by its bell-shaped curve and is defined by the mean () and the standard deviation (). It is a common assumption for the distribution of independent, randomly generated variables.


Contribute your Thoughts:

Selene
1 months ago
If they really want to ensure accuracy, they should just ask the customers to stand in a circle and spin around three times before answering the survey. That's science, people!
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Charlena
14 days ago
C) Purposive sampling
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Junita
14 days ago
B) Quota sampling
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Cristal
25 days ago
A) Stratified sampling
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Thaddeus
2 months ago
Ah, the old 'let's randomly select 500 customers from a large pool' trick. It's like throwing a dart at a dartboard the size of a house, but hey, at least it's random, right?
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Marci
2 months ago
Snowball sampling? Really? I don't see how that applies here. Unless the organization is asking their survey participants to refer their friends and family, which would be a pretty weird way to do this.
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Alaine
17 days ago
C) Purposive sampling
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Bernadine
28 days ago
B) Quota sampling
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Jutta
1 months ago
A) Stratified sampling
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Flo
2 months ago
Wait, I thought this was purposive sampling. The analytics team is deliberately selecting 500 customers to participate in the survey. Isn't that the whole point of purposive sampling?
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Maryln
14 days ago
Oh, I see. Thanks for clarifying!
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Arthur
14 days ago
No, it's actually stratified sampling. They are categorizing customers based on their purchase amounts before selecting a random sample from each category.
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Garry
1 months ago
A) Stratified sampling
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Melvin
2 months ago
I'm pretty sure this is quota sampling. The organization is trying to get a representative sample from their different customer groups, even if they don't know the exact proportions. Seems like a good approach to me.
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Alishia
19 days ago
I'm not sure, but I think it could also be purposive sampling. They have a specific purpose in mind for selecting these customers.
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Louvenia
27 days ago
I agree, it makes sense to divide customers into groups and then randomly select from each group.
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Tran
2 months ago
I think it's actually stratified sampling. They want to ensure representation from different customer categories.
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Luz
2 months ago
Stratified sampling seems like the right answer here. The organization is categorizing customers based on their purchase history, and then randomly selecting a sample from each group. Sounds like the textbook definition to me.
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Cheryl
3 months ago
I'm not sure, but I think it might be C) Purposive sampling. It sounds like they have a specific purpose in mind for selecting those customers.
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Doretha
3 months ago
I agree with Johnson. Stratified sampling ensures representation from different customer categories.
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Johnson
3 months ago
I think the answer is A) Stratified sampling.
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