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USPshnik [31]
3 years ago
10

Fifty dived by half minus of forty what is the answer?

Mathematics
2 answers:
strojnjashka [21]3 years ago
8 0

Step-by-step explanation:

50÷1/2-40

50×2-40

100-40

60

the answer is 60

MariettaO [177]3 years ago
6 0

Answer:60

Step-by-step explanation:if the equation is 50/.5-40, the first step is to turn them into fractions 50/1 and 50/100 (or 1/2) then you flip the second fraction and change the sign to multiply so it would be 50/1x2/1.

Y=50/.5-40

Y=50/1x2/1-40

Y=100-40

That leaves you with 100/1 (or 100). Then you subtract 40 from 100

100-40=60

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Which number line shows the solution of 5x - 25 < -15?
Anit [1.1K]
I think a. But I don’t understand this question.
8 0
3 years ago
The ages of students enrolled in two math classes at the local community college, Class A and Class B, are listed in order below
nlexa [21]

Answer:

The true statement about Class B is that Class B has a smaller median and the same inter quartile range.

Step-by-step explanation:

We are given the ages of students enrolled in two math classes at the local community college, Class A and Class B, below;

Class A: 20, 20, 20, 21, 22, 23, 23, 25, 27, 29, 30, 31, 34, 35, 36, 39, 40

Class B: 16, 17, 18, 18, 20, 22, 22, 24, 26, 26, 28, 29, 30, 34, 37, 40, 42

1) <u>Firstly, we will calculate Median for Class A;</u>

For calculating median, first we have to observe that number of observations (n) in our data is even or odd, that is;

  • If n is odd, then the formula for calculating median is given by;

                     Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

  • If n is even, then the formula for calculating median is given by;

                     Median  =  \frac{(\frac{n}{2})^{th} \text{ obs.}+(\frac{n}{2}+1)^{th} \text{ obs.}}{2}

Here, number of observation is odd, i.e. n = 17.

So,  Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

                     =  (\frac{17+1}{2})^{th} \text{ obs.}

                     =  (\frac{18}{2})^{th} \text{ obs.}

                     =  9^{th} \text { obs.} = 27

Hence, the median of class A is 27.

2) <u>Now, we will calculate Median for Class B;</u>

For calculating median, first we have to observe that number of observations (n) in our data is even or odd, that is;

  • If n is odd, then the formula for calculating median is given by;

                     Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

  • If n is even, then the formula for calculating median is given by;

                     Median  =  \frac{(\frac{n}{2})^{th} \text{ obs.}+(\frac{n}{2}+1)^{th} \text{ obs.}}{2}

Here, number of observation is odd, i.e. n = 17.

So,  Median  =  (\frac{n+1}{2})^{th} \text{ obs.}

                     =  (\frac{17+1}{2})^{th} \text{ obs.}

                     =  (\frac{18}{2})^{th} \text{ obs.}

                     =  9^{th} \text { obs.} = 26

Hence, the median of class B is 26.

3) Now, we will calculate the Inter quartile range for Class A;

Inter quartile range = Upper quartile - Lower quartile

                                = Q_3-Q_1

SO,  Q_1 = (\frac{n+1}{4})^{th} \text{ obs.}

             =  (\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{18}{4})^{th} \text{ obs.}

             =  4.5^{th} \text{ obs.}

             =  4^{th}  \text{ obs.} + 0.5[5^{th} \text{ obs.} -  4^{th} \text{ obs.}]

             =  21+ 0.5[22-  21]

             =  21.5

Similarly,  Q_3 = 3(\frac{n+1}{4})^{th} \text{ obs.}

             =  3(\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{54}{4})^{th} \text{ obs.}

             =  13.5^{th} \text{ obs.}

             =  13^{th}  \text{ obs.} + 0.5[14^{th} \text{ obs.} -  13^{th} \text{ obs.}]

             =  34+ 0.5[35-  34]

             =  34.5

Therefore, Inter quartile range for Class A = 34.5 - 21.5 = 13.

4) Now, we will calculate the Inter quartile range for Class B;

Inter quartile range = Upper quartile - Lower quartile

                                = Q_3-Q_1

SO,  Q_1 = (\frac{n+1}{4})^{th} \text{ obs.}

             =  (\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{18}{4})^{th} \text{ obs.}

             =  4.5^{th} \text{ obs.}

             =  4^{th}  \text{ obs.} + 0.5[5^{th} \text{ obs.} -  4^{th} \text{ obs.}]

             =  18+ 0.5[20-  18]

             =  19

Similarly,  Q_3 = 3(\frac{n+1}{4})^{th} \text{ obs.}

             =  3(\frac{17+1}{4})^{th} \text{ obs.}

             =  (\frac{54}{4})^{th} \text{ obs.}

             =  13.5^{th} \text{ obs.}

             =  13^{th}  \text{ obs.} + 0.5[14^{th} \text{ obs.} -  13^{th} \text{ obs.}]

             =  30+ 0.5[34-  30]

             =  32

Therefore, Inter quartile range for Class B = 32 - 19 = 13.

Hence, the true statement about Class B is that Class B has a smaller median and the same inter quartile range.

4 0
4 years ago
1. The values, x in a sample of 15 are summarized as follows
Serhud [2]

Answer:

(a) 100

(b) 10.27

Step-by-step explanation:

We are given  

No of elements = 15  

Σ(x-c) = 72,Σ(x-c)^2 = 499.6

,where c is a constant

and the sample mean is 104.8.

(a)  lets take into account Σ(x-c) = 72

this means that we have the sum of the 15 elements of x and each element of x is subtracted by the constant c

so the equation becomes Σxi -15c = 72, ............(1)

where xi means the sum of the elements of x from 1 to 15.

we are given the mean as 104.8

this means that Σxi/15 = 104.8

Σxi = 15*104.8 = 1572 .............(2)

substituting (2) in (1)

we get  

1572 - 15c = 72  

15c = 1500  

c = 100

(b) We will use the property that variance does not change when a constant value is added or subtracted to the elements. This we can observe in the given equation that c is a constant that has the value of 100.

so the variance is  

σ^2 = Σ(x-c)^2/15  - (Σ(x-c)/15 )^2

      = 499.6/15  - (72/15)^2

      = 33.31 - 23.04

   σ^2   = 10.27

Therefore the variance of the given problem is 10.27.

5 0
3 years ago
The rug is 21 feet long and<br> 20 feet wide. What is the<br> length of the diagonal?
ser-zykov [4K]

Answer:

using hyp²=opp²+adj²

x²=21²+20²

x²=441+400

x²=841

x =/841

x=29

5 0
2 years ago
Read 2 more answers
A researcher wants to estimate the true proportion of people who would buy items they know are slightly defective from thrift sh
belka [17]

Answer: 0.283

Step-by-step explanation:

Formula to find the lower limit of the confidence interval for population proportion is given by :-

\hat{p}- z^*\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

, where \hat{p}  = sample proportion.

z* = Critical value

n= Sample size.

Let p be the  true proportion of people who would purchase a defective item.

Given : Sample size = 993

Number of individuals would buy a slightly defective item if it cost less than a dollar = 305

Then, sample proportion of people who would purchase a defective item:

\hat{p}=\dfrac{305}{993}\approx0.307

Critical value for 90% confidence interval = z*=1.645  (By z-table)

The lower bound of a 90% confidence interval for the true proportion of people who would purchase a defective item will become

0.307-(1.645)\sqrt{\dfrac{0.307(1-0.307)}{993}}

0.307- (1.645)\sqrt{0.000214250755287}

0.307- 0.024078369963=0.282921630037\approx0.283  [rounded to the nearest three decimal places.]

Hence, the lower bound of a 90% confidence interval for the true proportion of people who would purchase a defective item.= 0.283

8 0
3 years ago
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