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almond37 [142]
4 years ago
14

The first quartile of a data set is 2.5. which statement about the data values is true?

Mathematics
1 answer:
Luden [163]4 years ago
5 0

Answer:

The correct option is D.

Step-by-step explanation:

In a data set we have three quartiles and the second quartile is known as median.

First quartile Q₁ divides the data set in 1:3. It means \frac{1}{4} of the data set are less than or equal to Q₁ and \frac{3}{4} of the data set are more than or equal to Q₁.

Second quartile Q₂ divides the data set in 1:1. It means \frac{1}{2} of the data values are less than or equal to Q₂ and \frac{1}{2} of the data values are more than or equal to Q₂.

Third quartile Q₃ divides the data set in 3:1. It means \frac{3}{4} of the data values are less than or equal to Q₃ and \frac{1}{4} of the data values are more than or equal to Q₃.

It is given that first quartile of a data set is 2.5. It means \frac{1}{4} of the data set are less than or equal to 2.5 and \frac{3}{4} of the data set are more than or equal to 2.5.

Therefore the correct option is D.

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A random sample of 700 home owners in a particular city found 112 home owners who had a swimming pool in their backyard. Find a
vekshin1

Answer: (13.28\%,\ 18.72\%)

Step-by-step explanation:

Given : A random sample of 700 home owners in a particular city found 112 home owners who had a swimming pool in their backyard.

i.e. n= 700 and x= 112

Sample proportion : \hat{p}=\dfrac{x}{n}=\dfrac{112}{700}=0.16

z-value for 95% confidence interval : z_c=1.960

Now, the 95% confidence interval for the true percent of home owners in this city who have a swimming pool in their backyard will be :-

\hat{p}\pm z_c\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

=0.16\pm (1.96)\sqrt{\dfrac{0.16(1-0.16)}{700}}

=0.16\pm (1.96)(0.013856)\\\\\approx 0.16\pm0.0272\\\\ =(0.16-0.0272,\ 0.16+0.0272)=(0.1328,\ 0.1872)=(13.28\%,\ 18.72\%)

Hence, 95% confidence interval for the true percent of home owners in this city who have a swimming pool in their backyard : (13.28\%,\ 18.72\%)

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Step-by-step explanation:

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