acrobat
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.
(of an adjective or adverb) expressing a higher degree of a quality, but not the highest possible (e.g., braver; more fiercely).Positive Comparative Superlativesimple simpler simplestsilly sillier silliestwhite whiter whitestclear clearer clearesteasy easier easiest
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.
No, to both questions.
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
Difference between sample means
Equal variances, independent observations and normality
acrobat
"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.
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.For Confidence level c, and the critical value of Zc is the number such that the area under the statndard normal curve between -Zc and Zc equals C.n > (zcσ/E)2
Contrast - Show the Differences Between
Compare means to identify similarities between two or more things, while contrast means to identify differences between them. When you compare and contrast, you are examining both the similarities and differences in order to highlight key distinctions.
Irregular reflection means it is not right
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