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defon
3 years ago
5

Which of the following is true about the sampling distribution of means? Sampling distribution of the mean is always right skewe

d since means cannot be smaller than 0. Sampling distributions of means get closer to normality as the sample size increases. Sampling distributions of means are always nearly normal. Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is.
Mathematics
1 answer:
vfiekz [6]3 years ago
5 0
I don’t think I have a a lot to do and then it will be the day that because I’m not going out because I’m going out of the state and then it would be better to get it a day or so please thank me thank for it I don’t think know answer question question because you lord lord please thank the god for the gods and god that he did not gave you thank the lord for that answer please please answer answer question answer answer me question
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What is the value of x and the length of segment DE?
Mandarinka [93]

Answer:

Part 1) x=6.6\ units

Part 2) DE=16.2\ units

Step-by-step explanation:

Part 1) Find the value of x

we know that

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CD/FD=FD/DE

\frac{5}{9}=\frac{9}{2x+3} \\ \\5*(2x+3)=9*9\\ \\10x+15=81\\ \\10x= 81-15\\ \\10x=66\\ \\ x=6.6\ units

Part 2) Find the length of DE

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The U.S. Bureau of Labor Statistics reports that of persons who usually work full-time, the average number of hours worked per w
alukav5142 [94]

Answer:

The standard deviation of number of hours worked per week for these workers is 3.91.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

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Z = \frac{X - \mu}{\sigma}

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. Subtracting 1 by the pvalue, we This p-value is the probability that the value of the measure is greater than X.

In this problem we have that:

The average number of hours worked per week is 43.4, so \mu = 43.4.

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The standard deviation of number of hours worked per week for these workers is 3.91.

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