Stats comics
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- Glisser: 1
- Statistics and Probability
- Good morning class, I'm Joana your teacher in this subject. So for today we're just first going to recall our lesson yesterday about identifying appropriate test statistics involving population mean.
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- HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS UNKNOWN
- Is there anyone here in the classroom who can recall the appropriate test to be used when the population variance is unknown?
- I can recall that ma'am. When the population variance is unknown, the appropriate test statistic to be used is the t-test.
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- HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS UNKNOWN
- Okay class, Aira is right. T-test is used when the population variance or standard deviation are not known. Moreover, when the variance is unknown and a sample size is less than 30, we should use t-test statistic assuming that the population is normal or approximately normal.
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- HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS KNOWN
- Okay next, can someone recall the appropriate test to be used when the population variance is known?
- I know that ma'am. When the population variance is known, the appropriate test statistic to be used is the z-test.
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- HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS KNOWN
- Okay Shad your explanation was correct. Z-test is used when the variance is known and either the distribution is normal or sample size is large. In z-test, the sample is assumed to be normally distributed and a z-score is calculated with population parameters such as population mean and population standard deviation.
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- HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:CENTRAL LIMIT THEOREM
- Okay after this last question, we will proceed to our new lesson. Shariena can you explain when do we used Central Limit Theorem?
- Yes ma'am. In Central Limit Theorem (CLT) the population is normally distributed or the sample size is large and the true population mean μ =μo, the z has a standard normal distribution. In addition, when the Central Limit Theorem is used, the appropriate test statistic to be used is the z-test by replacing population standard deviation (σ) by sample standard deviation (s) in the formula.
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