Ah Teacher! Just because I can't understand the lesson before.
Thank you Teacher!
Oh boy you should told me sooner. Well don't worry I will teach you tomorrow. Just go to school early so I have time to teach you.
Hey Kid! Why do you look upset?
What part of the lesson you can't understand yesterday?
Ah! Its to know how to determine the appropriate tool when the variance is known, variance is unknown, and when Central Limit Theorem is used.
When the Popular Variance is known, the appropriate test statistic to used is z-test.
HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS KNOWN
A z-test is a statistical test to determine whether two population means are different when the variances are known and the sample size is large. A z-test is a hypothesis test in which the z-statistic follows a normal distribution. A z-statistic, or z-score, is a number representing the result from the z-test.
HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS KNOWN
Z-test is the appropriate tool to used when the popular variance is known because:Population is normally distributed.The sample size is greater than or equal 30(𝑛≥30)Population standard deviation (𝜎) is known.
On the other hand, when the Population Variance is Unknown, the appropriate test statistic to used is t-test.
HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS UNKNOWN
A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related in certain features.
HOW TO DETERMINE THE APPROPRIATE TOOL WHEN:VARIANCE IS UNKNOWN
T-test is the appropriate tool to use when the popular variance is unknown because:Population is normal or nearly normally distributed.The sample size is less than 30 (n<30).Sample standard deviation (s) is known.Population standard deviation (𝜎) is unknown.
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