IASSC ICBB Exam - Topic 2 Question 46 Discussion

Actual exam question for IASSC's ICBB exam

Question #: 46
Topic #: 2

Sally and Sara sell flower pots at their garage sale. Sally motivates Sara mentioning that they will sell a minimum of 15 pots per day if the outside temperature exceeds 60o F. From a sample, whose population is assumed to follow a Normal Distribution, taken for 30 days at 60 degrees or more an average of 13.6 pots per day were sold with a Standard Deviation of 0.7 pots. For the sales accomplished above, what test would validate if they met their requirements?

AF Test

BTest for Equal Variance

CChi Square Test

DOne-Sample t-Test

Show Suggested Answer

Suggested Answer: A

by James at Mar 20, 2023, 10:09 AM

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Dottie

10 months ago

Normal distribution means t-Test fits perfectly here.

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Nichelle

10 months ago

Wait, are we sure about that average? Seems low!

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Laurel

11 months ago

Sounds like they didn't quite meet the target.

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Gilberto

11 months ago

I think they should have sold more than 15 pots, right?

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Nickolas

11 months ago

One-Sample t-Test is the way to go!

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Tammy

11 months ago

I’m confused about the F Test and the t-Test. I know the F Test is for variances, but I can’t remember if we need it here.

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Vincent

11 months ago

I feel like we practiced a similar question where we had to determine if a sample mean was significantly different from a target value. I think it was a t-Test too.

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Lynna

11 months ago

I'm not entirely sure, but I remember something about using the t-Test when the sample size is small. Does 30 count as small?

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Arthur

11 months ago

I think we might need to use a One-Sample t-Test since we're comparing the sample mean to a specific value, which is 15 pots.

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Cordie

11 months ago

This is a tricky one. I'll need to think carefully about the nature of a public blockchain and how data is stored and managed on it.

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Colette

12 months ago

I'm a bit confused on this one. I know it has something to do with the web.xml file, but I'm not sure which of these options is the right way to do it. I'll have to think it through step-by-step.

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Nada

1 year ago

I'm with Amalia and Troy on this one. The One-Sample t-Test is the perfect fit. Though I must say, the F-Test and Test for Equal Variance seem a bit overkill for this simple question. Maybe the exam writers were just trying to throw us off the scent!

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Angelyn

1 year ago

Let's stick with the One-Sample t-Test for this one.

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Marleen

1 year ago

I think the exam writers were just trying to make it more challenging.

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Juan

1 year ago

Yeah, the F-Test and Test for Equal Variance do seem unnecessary here.

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Arleen

1 year ago

I agree, the One-Sample t-Test is the way to go for this scenario.

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Roosevelt

1 year ago

I think the exam writers were just trying to make it more challenging by including those options.

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Aliza

1 year ago

Definitely, the F-Test and Test for Equal Variance seem unnecessary for this situation.

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Tawna

1 year ago

Yeah, it seems like the most appropriate test to validate if they met their requirements.

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Margurite

1 year ago

I agree, the One-Sample t-Test is the way to go for this scenario.

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Emilio

1 year ago

Haha, the Chi-Square test? Really? That's for testing the goodness of fit, not for comparing a sample mean to a hypothesized value. Clearly the One-Sample t-Test is the way to go.

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Paola

1 year ago

Yeah, the Chi-Square test wouldn't be the right fit for this scenario. The One-Sample t-Test makes more sense here.

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Jamal

1 year ago

I agree, the One-Sample t-Test is the appropriate choice for comparing the sample mean to a hypothesized value.

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Lyla

1 year ago

I believe we should use the One-Sample t-Test.

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Troy

1 year ago

Definitely going with the One-Sample t-Test. The question gives us a sample mean and standard deviation, and we need to compare that to a hypothesized value. Classic t-Test scenario.

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Amalia

1 year ago

The One-Sample t-Test seems like the obvious choice here. We want to see if the mean sales of 13.6 pots per day is significantly different from the minimum requirement of 15 pots.

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