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jonny [76]
3 years ago
15

Find the​ range, variance, and standard deviation for the given sample data. Include appropriate units in the results. Listed be

low are the measured radiation absorption rates​ (in W/kg) corresponding to various cell phone models. If one of each model is measured for radiation and the results are used to find the measures of​ variation, are the results typical of the population of cell phones that are in​ use? 0.83 1.39 1.39 1.03 0.66 1.26 1.39 1.18 1.41 1.19 1.15
Mathematics
1 answer:
Sliva [168]3 years ago
5 0

Answer:

Range =1.41-0.66 = 0.75

\bar X = 1.171 W/Kg

s^2 = 0.0607

And taking the square root we got the sample deviation:

s = \sqrt{0.0607}= 0.246 W/kg

Step-by-step explanation:

For this case we have the following datset given:

0.83 1.39 1.39 1.03 0.66 1.26 1.39 1.18 1.41 1.19 1.15

We need to find the range, and the range is defined by:

Range = Max -Min

And replacinng we got:

Range =1.41-0.66 = 0.75

Then we can find the sample variance, but firt we need to find the sample mean with this formula:

\bar X = \frac{\sum_{i=1}^n X_i}{n}

And replacing we got:

\bar X = 1.171 W/Kg

Now we can find the sample variance with this formula:

s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}

And replacing we got:

s^2 = 0.0607

And taking the square root we got the sample deviation:

s = \sqrt{0.0607}= 0.246 W/kg

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The Japanese 5 yen coin has a hole in the middle. If the diameter of the coin is 22 mm and the diameter of the hole is 5 mm, how
Yanka [14]

Answer:

4.4mm

Step-by-step explanation:

Circumference of circle

2 Pi r

Diameter of coin = 22mm

Therefore the radius = 11mm

Therfroe the outer edge (circumference)

= 2 Pi r

= 2 x Pi x 11

=69.11mm

For the inner edge

Diameter = 5

Radius = 2.5

Therefroe inner edge (circumference)

= 2 Pi r

= 2 x Pi x 2.5

= 15.7mm

The difference is

69.11 - 15.7

=4.4mm

7 0
3 years ago
One week, a cake shop sold 45 pineapple cakes and 62 chocolate cakes on the weekdays and 55 pineapple cakes and 79 chocolate cak
lora16 [44]

Answer:

Let us assume cost of each pineapple cake = $x.


Cost of each chocolate cakes = $y.


On weekdays 45 pineapple cakes and 62 chocolate cakes were sold.


Total cost of 45 pineapple cakes and 62 chocolate cakes were sold =  $3,520.


Therefore, first equation would be


45x + 62y = 3520  --------------equation(1).


On weekends 55 pineapple cakes and 79 chocolate cakes were sold.


Total cost of 55 pineapple cakes and 79 chocolate cakes were sold =  $4,415.


Therefore, second equation would be


55x + 79y = 4415   --------------equation(2).


Therefore, system of equation are 45x + 62y = 3520  and 55x + 79y = 4415.

And we can form a matrix as

.

Step-by-step explanation:


8 0
3 years ago
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kramer

Answer:

hi

Step-by-step explanation:

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5 0
3 years ago
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A Copy of machine produces 80 copies in 5 minutes. How many copies would be produced in 40 minutes?
BlackZzzverrR [31]
The answer would be 640. To find the number of how many copies are produced in 1 minute you have to write 80 divided by 5 which equals 16. Now you multiply 16 and the 40 minutes which gives you 640 copies.

6 0
3 years ago
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37% of women consider themselves fans of professional baseball. you randomly select six women and ask each if she considers hers
valina [46]

Answer:

(a) 2.22

(b) 1.3986

(c) 1.183

Step-by-step explanation:

Let <em>X</em> denote the number of women who consider themselves fans of professional baseball.

The proportion of women who consider themselves fans of professional baseball is, <em>p</em> = 0.37.

A random sample of <em>n</em> = 6 women are selected and each was asked if she considers herself a fan of professional baseball.

Each woman's reply is independent of the others.

The random variable <em>X</em> thus follows a binomial distribution with parameters <em>n</em> = 6 and <em>p</em> = 0.37.

(a)

Compute the mean of the binomial distribution as follows:

\text{Mean}=np=6\times 0.37=2.22

(b)

Compute the variance of the binomial distribution as follows:

\text{Variance}=np(1-p)=6\times 0.37\times (1-0.37)=1.3986

(c)

Compute the standard deviation of the binomial distribution as follows:

\text{Standard Deviation}=\sqrt{np(1-p)}=\sqrt{6\times 0.37\times (1-0.37)}=1.183

5 0
3 years ago
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