IIBA CBDA Exam - Topic 1 Question 13 Discussion

Actual exam question for IIBA's CBDA exam

Question #: 13
Topic #: 1

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:

AStratified sampling

BQuota sampling

CPurposive sampling

DSnowball sampling

Show Suggested Answer

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.

by Mickie at May 31, 2024, 05:22 PM

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Ruthann

7 months ago

Not sure about this one, seems a bit off.

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Marta

7 months ago

Wait, how do they ensure it's random?

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Ricarda

7 months ago

Randomly selecting from categories? Classic stratified!

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Rosendo

7 months ago

I thought it was quota sampling at first.

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Arthur

8 months ago

This is definitely stratified sampling!

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Arthur

8 months ago

I practiced a question similar to this, and I think it was about stratified sampling too. It makes sense to ensure representation from different purchase levels.

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Hollis

8 months ago

This sounds familiar, but I can't recall the exact definitions. I feel like it could also be purposive sampling, but that seems less likely.

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Alyce

8 months ago

I'm not entirely sure, but I remember something about quota sampling being related to selecting a specific number from different groups.

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Kimbery

8 months ago

I think this might be stratified sampling since they are categorizing customers based on their purchase amounts before selecting them.

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Ashley

8 months ago

I'm feeling pretty confident about this one. The fact that they're randomly selecting from a categorized pool of customers points to stratified sampling as the correct answer. I'll go with that.

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Leota

8 months ago

Okay, let me think this through. The organization is randomly selecting 500 customers from a larger pool, so that rules out quota sampling and purposive sampling. I'm leaning towards stratified sampling as the best answer here.

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Alonzo

8 months ago

Hmm, I'm a bit unsure about this one. The question mentions categorizing customers based on purchase amounts, so I'm wondering if that's a clue that stratified sampling might be the right answer.

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Holley

8 months ago

This seems like a straightforward sampling question. I think the key is to identify the type of sampling being used based on the details provided.

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Beckie

9 months ago

This looks straightforward. I'll start by building the container image using the provided Dockerfile and the tool of my choice, likely Docker. Then I'll export the image in OC-format and store it as requested.

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Edelmira

9 months ago

Hmm, I'm not totally sure about the differences between some of these options. I'll need to think carefully about which two benefits are the most significant.

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Carri

9 months ago

Based on my understanding of DDoS attacks, option A seems to be the best answer. I'll review the other choices, but that's where I'm leaning at the moment.

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Selene

1 year 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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Clay

12 months ago

D) Snowball sampling

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Charlena

1 year ago

C) Purposive sampling

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Junita

1 year ago

B) Quota sampling

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Cristal

1 year ago

A) Stratified sampling

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Thaddeus

1 year 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

1 year 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

1 year ago

C) Purposive sampling

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Bernadine

1 year ago

B) Quota sampling

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Jutta

1 year ago

A) Stratified sampling

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Flo

1 year 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

1 year ago

Oh, I see. Thanks for clarifying!

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Arthur

1 year 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 year ago

A) Stratified sampling

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Melvin

1 year 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

1 year 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

1 year ago

I agree, it makes sense to divide customers into groups and then randomly select from each group.

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Tran

1 year ago

I think it's actually stratified sampling. They want to ensure representation from different customer categories.

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Luz

1 year 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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