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kvasek [131]
2 years ago
6

Elias likes to read during his summer breaks. The table below shows the number of pages in each book he read last summer and the

number of pages in each book he read this summer.
Number of Pages Elias Read during the Summer
Last summer: 140 220 190 180 190
This summer: 150 170 150 190 180

Which statement comparing the modes to the ranges is true?

A.The modes differ by 40 and the ranges differ by 40.

B.The modes differ by 20 and the ranges differ by 20.

C.The modes differ by 40, but the ranges differ by 20.

D.The modes differ by 20, but the ranges differ by 40.
Mathematics
2 answers:
user100 [1]2 years ago
7 0

Answer:

A.The modes differ by 40 and the ranges differ by 40.

Step-by-step explanation:

The mode of a data set is the value that occurs most often.

For the data from last summer, the value 190 is in the list twice, while all other values are only in once.  This means 190 is the mode.

For the data from this summer, the value 150 is in the list twice, while all other values are only in once.  This means 150 is the mode.  This also means the difference in modes is 190-150 = 40.

The range is the difference between the maximum and minimum values in a data set.  For last summer's data, the maximum is 220 and the minimum is 140; this gives us 220-140 = 80 for the range.

For this summer's data, the maximum is 190 and the minimum is 150; this gives us 190-150 = 40 for the range.  This means the difference in ranges is 80-40 = 40.

Rina8888 [55]2 years ago
5 0

Answer:

pretty sure its "A"

Step-by-step explanation:

:)))))))))))))))))))))))))))))))))))))))

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Answer:

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And using a calculator, excel ir the normal standard table we have that:

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And we can calculate the probability like this:P(-1.5 \leq Z \leq 1.5) = P(zStep-by-step explanation:

A random sample of 36 observations has been drawn from a normal distribution with mean 50 and standard deviation 12. Find the probability that the sample mean is in the interval 47<=X<53. Is the assumption of normality important. Why?

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

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Where \mu=50 and \sigma=12

Since the distribution for X is normal then we know that the distribution for the sample mean \bar X is given by:

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We can find the probability required like this:

z= \frac{47 -50}{\frac{12}{\sqrt{36}}}=-1.5

z= \frac{53 -50}{\frac{12}{\sqrt{36}}}=1.5

And using a calculator, excel ir the normal standard table we have that:

P(47 \leq \bar X \leq 53) =P(-1.5 \leq Z \leq 1.5)

And we can calculate the probability like this:

P(-1.5 \leq Z \leq 1.5) = P(z

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