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grigory [225]
4 years ago
15

24/4=6. 4×6=24.what is the meaning of the unknown factor and quotient?

Mathematics
1 answer:
vovikov84 [41]4 years ago
8 0
The unknown factor is the divide sign
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Audrey ran 2 1/6 miles yesterday. Today, she ran 1 3/6 miles. Tomorrow, she plans on running 1 4/6 miles less than yesterday and
zubka84 [21]

Answer:

2 miles

Step-by-step explanation:

Add the first 2 terms (2 1/6 and 1 3/6) by adding the whole term and fractional term to get 3 4/6, then subtract 1 4/6 by subtracting 1 from 3 and 4/6 from 4/6 to get 2 0/6, which is just 2.

7 0
2 years ago
What is the range of the given function?
topjm [15]

Answer:

-7,-5,-1,0,1,4,6,9

Step-by-step explanation:

6 0
4 years ago
Listed below are the measured radiation absorption rates? (in w/kg) corresponding to 11 cell phones. Use the given data to const
deff fn [24]

Answer:

The minimum value is 0.51

Q_1= \frac{0.89+1.04}{2}= 0.965

Median=Q2= 1.18

Q_3= \frac{1.41+1.42}{2}= 1.415

Max = 1.49

Step-by-step explanation:

We assume the following dataset:

1.18,1.41, 1.49,1.04,1.04,0.74,0.89,1.42,1.45,0.51,1.38

We order the dataset on increasing way and we have:

0.51 0.74 0.89 1.04 1.04 1.18 1.38 1.41 1.42 1.45 1.49

The minimum value is 0.51

The first quartile Q1 can be calculated with the first 6 observations: 0.51 0.74 0.89 1.04 1.04 1.18. The Q1 would be the average between the 3rd and 4th position:

Q_1= \frac{0.89+1.04}{2}= 0.965

For the median since the number of data represent an odd number than the median would be the position in the middle (6th)

Median=Q2= 1.18

The first quartile Q1 can be calculated with the last 6 observations: 1.18 1.38 1.41 1.42 1.45 1.49. The Q1 would be the average between the 3rd and 4th position:

Q_3= \frac{1.41+1.42}{2}= 1.415

And the maximum value for this case would be:

Max = 1.49

We can see the boxplot obtained on the figure attached.

5 0
3 years ago
What is the range of the given function?<br><br> {(–2, 0), (–4, –3), (2, –9), (0, 5), (–5, 7)}
Novay_Z [31]
Range is the set of possible output values of a function. In this case, it’s (-9, -3, 0, 5, 7).
8 0
3 years ago
A group of physical education majors was discussing the heights of female runners and whether female runners tended to be tall,
Anna11 [10]

Answer:

The 90% confidence interval for the mean µ of the population of female runners.

( 65.0328 , 66.5672)

Step-by-step explanation:

<u>Step(i)</u>

Given  A sample of 12 runners showed a sample mean height of 65.80 inches and a sample standard deviation of 1.95 inches.

Given sample size is n = 12 <30 so small sample

Given sample mean (x⁻) = 65.80 inches

sample standard deviation (S) = 1.95 inches.

<u>Step(ii)</u>

Assume the population is approximately normal.

The 90% confidence interval for the mean µ of the population of female runners.

(x^{-} - t_{\alpha } \frac{S}{\sqrt{n} } ,x^{-} +t_{\alpha } \frac{S}{\sqrt{n} } )

substitute  all above interval

(65.80 - t_{\alpha } \frac{1.95}{\sqrt{12} } ,65.80 +t_{\alpha } \frac{1.95}{\sqrt{12} } )

The degrees of freedom γ=n-1 = 12-1=11

From t- table = 1.363 at 90 % 0r 0.10 level of significance

(65.80 -1.363 \frac{1.95}{\sqrt{12} } ,65.80 +1.363 \frac{1.95}{\sqrt{12} } )

on calculation , we get

(65.80 -0.7672 ,65.80 + 0.7672)

( 65.0328 , 66.5672)

8 0
3 years ago
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