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Q: The sum of the differences between sample observations and sample means is what?

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It means that every member of the population has the same probability of being included in the sample.

It means that the observations are all close to their mean value.

The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger — no matter what the shape of the population distribution. This fact holds especially true for sample sizes over 30.

According to the Central Limit Theorem if the sample size is large enough then the means will tend towards a normal distribution regardless of the distribution of the actual sample.

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No, to both questions.

Compare is to have 2 things and use your observations for it.

You are testing the difference between two means of independent sample and the population variance are not known. from those population you take two samples of two different size n1and n2. what degrees of freedom is appropriate to consider in this case

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Difference between sample means

there, their or they'rethere means here ortheretheir means that it belongs to someone

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Equal variances, independent observations and normality

"Interstellar" means "between the stars". "Interstellar differences" is not a term commonly used in astronomy.

That there is no difference between the means for the two populations.

Contrast - Show the Differences Between

Both are the means of communication

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