Answer:-5.8
Explanation:4.5-8.3=-3.8 -3.8-2=5.8
The <em><u>correct answer</u></em> is:
False.
Explanation:
We cannot be sure that all samples from a normal distribution will also be normally distributed.
The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger, especially for sample sizes over 30. Basically as you take more samples from a given distribution, especially large samples, the graph of the sample means will look more like a normal distribution.
However, this does not state that all samples of a normal distribution will also be normal.
Answer:
D
Step-by-step explanation:
The mean is usually the best measure of central tendency to use when your data distribution is continuous and symmetrical, such as when your data is normally distributed.
Answer:
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ID- 825 338 1513 DO NOT
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Step-by-step explanation:
the word form of 485,830 is Four hundred eighty-five thousand eighty hundred thirty
