IIBA CBDA Exam - Topic 4 Question 33 Discussion

Actual exam question for IIBA's CBDA exam

Question #: 33
Topic #: 4

[All CBDA Questions]

A food and beverage company would like to administer a survey to obtain customer insights about a new cookie product recently launched. A data team is asked to build the survey paying careful attention to reduce the degree of sampling error. Which criteria would help the team meet this objective?

ALarge sample size and variation in the target population

BLarge sample size and random selection of the target population

CSmall sample size and specific subset of the target population

DSmall sample size and using customers who agreed to take the survey
Explanation:
Sampling error is the difference between the results obtained from a sample and the results obtained from the population from which the sample is drawn1.Sampling error can affect the validity, reliability, and generalizability of the survey results2. To reduce the degree of sampling error, the data team should use a large sample size and a random selection of the target population.A large sample size means that the sample is more likely to represent the diversity and variability of the population, and that the results are more precise and accurate3.A random selection of the target population means that every member of the population has an equal chance of being included in the sample, and that the results are less biased and more representative4.
The other criteria would not help the team meet this objective, as they would increase the degree of sampling error. A large sample size and variation in the target population would not reduce the sampling error, as variation refers to the differences or heterogeneity within the population, not the sample.Variation in the target population can increase the sampling error, as it makes it harder to capture the true characteristics of the population with a sample5. A small sample size and specific subset of the target population would not reduce the sampling error, as they would make the sample less representative and more prone to bias. A small sample size means that the sample is less likely to reflect the diversity and variability of the population, and that the results are less precise and accurate. A specific subset of the target population means that the sample is not randomly selected, but based on some criteria or convenience, and that the results are more biased and less representative. A small sample size and using customers who agreed to take the survey would not reduce the sampling error, as they would also make the sample less representative and more prone to bias. A small sample size has the same drawbacks as mentioned above.Using customers who agreed to take the survey means that the sample is not randomly selected, but based on self-selection or voluntary response, and that the results are more biased and less representative.

Show Suggested Answer

Suggested Answer: B

by Eric at Mar 19, 2025, 05:50 PM

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Precious

3 months ago

Wait, small sample sizes can’t be good, right?

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Myra

3 months ago

I think A could work too, but not as well.

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Veronique

4 months ago

Totally agree with B, random selection is a must!

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Keshia

4 months ago

Not sure if large samples always mean better results...

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Arlean

4 months ago

Definitely B! Large sample size is key.

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Janessa

4 months ago

I’m leaning towards option B too, but I wonder if there are exceptions where a specific subset might be useful.

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Lizette

4 months ago

I feel like using a small sample size could work in some cases, but it seems risky for this survey.

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Eun

5 months ago

I think we practiced a question like this in class, and I believe the answer is B because random selection helps avoid bias.

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Nelida

5 months ago

I remember that a large sample size is important for reducing sampling error, but I'm not sure if random selection is always necessary.

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Izetta

5 months ago

Small sample size and a specific subset of the population? That doesn't sound right at all. Wouldn't that just increase the sampling error and make the results less representative?

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Edna

5 months ago

Okay, I think I've got it. Random selection of the target population is the way to go. That ensures everyone has an equal chance of being included, which should give us more reliable results.

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Doretha

5 months ago

Hmm, I'm a bit confused. Wouldn't a large sample size with variation in the population also help reduce sampling error? I'm not sure if that's the same as random selection.

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Tommy

6 months ago

I think the key here is to focus on getting a large, randomly selected sample to reduce sampling error. That seems like the best way to meet the objective.

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Jamie

11 months ago

I'm sorry, but did you say 'customers who agreed to take the survey'? Might as well just ask my grandma for her opinion and call it a day.

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Leonora

11 months ago

B: Yeah, that's the best way to reduce sampling error and get accurate insights.

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Jamal

11 months ago

A: Large sample size and random selection of the target population

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Louis

11 months ago

Hah, small sample size and a specific subset? What is this, amateur hour? You want accurate data, you gotta go big and go random.

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Lisha

10 months ago

D: Large sample size helps capture the diversity and variability of the population for more accurate results.

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Arlyne

10 months ago

C: Random selection ensures every member of the population has an equal chance of being included.

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Niesha

10 months ago

B: Agreed, small sample size and specific subset would just lead to biased results.

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Cassi

10 months ago

A: Definitely! Large sample size and random selection are key to reducing sampling error.

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Peter

10 months ago

D: Using customers who agreed to take the survey would skew our results, we need a random selection.

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Detra

10 months ago

C: We need to ensure our survey represents the diversity of our target population.

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Fletcher

10 months ago

B: Agreed, small sample size and specific subset would just lead to biased results.

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Tiara

10 months ago

A: Definitely! Large sample size and random selection are key to reducing sampling error.

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Marti

11 months ago

No, using customers who agreed to take the survey would introduce bias and increase sampling error.

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Donette

12 months ago

B all the way, baby! Random selection is the key to unbiased results. Anything less and you're just asking for trouble.

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Gabriele

12 months ago

But wouldn't using customers who agreed to take the survey also help?

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Shayne

12 months ago

A large sample size and random selection? Sounds like the way to go to me. Gotta keep that sampling error down, am I right?

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Dorthy

11 months ago

Definitely. It's important to minimize bias and increase the validity of the survey results.

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Arletta

11 months ago

I agree. It helps ensure that the results are more accurate and representative of the target population.

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Twanna

11 months ago

Absolutely! A large sample size and random selection are key to reducing sampling error.

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Malcolm

12 months ago

I agree with Marti. A large sample size and random selection would help reduce sampling error.

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Marti

12 months ago

I think the answer is B) Large sample size and random selection of the target population.

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