Exam DSA-C03 Topic 1 Question 83 Discussion
Actual exam question for Snowflake's DSA-C03 exam
Question #: 83
Topic #: 1
Question #: 83
Topic #: 1
A marketing analyst at 'NovaRetail' suspects that a new advertising campaign has increased the average purchase amount. They have historical purchase data in a Snowflake table called 'purchase_historf. To validate their hypothesis using the Central Limit Theorem (CLT), they perform the following steps: 1. Calculate the population mean (?) of purchase amounts from the historical data'. 2. Draw 500 random samples of size 50 from the table. 3. Calculate the sample mean (x?) for each sample. Which of the following steps are essential for correctly applying the Central Limit Theorem to perform a z-test to determine whether the new advertising campaign has significantly increased the average purchase amount?
Suggested Answer: A,C,D,E Vote an answer
The Central Limit Theorem (CLT) allows us to perform a z-test to determine whether the mean of a sample is significantly different from the population mean. The essential steps are: A: Calculate the standard deviation of the population (?) and estimate the standard error. This is necessary to calculate the z-statistic. C: Ensure that samples are drawn independently and randomly. This is a key assumption for the CLT to hold. D: This step uses the samples to estimate the standard error of the mean directly from the 500 calculated sample means. Both A and D are correct, and the analyst could choose either approach depending on the computational efficiency and availability of population data. If population standard deviation is known or easily calculated, that's preferred. However, an estimate from the standard deviation of the sampling distribution is also valid, especially when population standard deviation calculation is not feasible. E: The CLT is applicable only if the sample size is large enough. For many distributions, n=50 is sufficient. We assume replacement, such that population size N >> n.
by Algernon at May 16, 2026, 09:40 AM
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