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Svetlanka [38]
3 years ago
7

The sum of 16 and a number x is equal to 20

Mathematics
2 answers:
Andreyy893 years ago
6 0
The sum of 16 and 4 is equal to 20.
This is how I know:
20-16=4
How do I know this? 
Sum means to <u>add</u>. To get the sum of something that equals another number, you must see what number adds up with 16 to get 20. So, this means that 16+4=20.

Hope this helps. <3 :)
baherus [9]3 years ago
5 0
" the sum " means add

16 + x = 20 <= ur equation
x = 20 - 16
x = 4 <== the number
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Nana76 [90]

Answer:

choice one

Step-by-step explanation:

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5 0
3 years ago
Are the marks one receives in a course related to the amount of time spent studying the subject? To analyze this mysterious poss
sertanlavr [38]

Answer:

a) 98.522

b) 0.881

c) The correlation coefficient and co-variance shows that there is positive association between marks and study time. The correlation coefficient suggest that there is strong positive association between marks and study time.

Step-by-step explanation:

a.

As the mentioned in the given instruction the co-variance is first computed in excel by using only add/Sum, subtract, multiply, divide functions.

Marks y Time spent x y-ybar x-xbar (y-ybar)(x-xbar)

77                    40 5.1         1.3 6.63

63                     42 -8.9            3.3 -29.37

79                     37 7.1            -1.7 -12.07

86                     47 14.1            8.3 117.03

51                    25 -20.9  -13.7 286.33

78                     44 6.1            5.3 32.33

83                      41 11.1            2.3 25.53

90                     48 18.1            9.3 168.33

65                     35 -6.9           -3.7 25.53

47                    28 -24.9 -10.7 266.43

Covariance=\frac{sum[(y-ybar)(x-xbar)]}{n-1}

Co-variance=886.7/(10-1)

Co-variance=886.7/9

Co-variance=98.5222

The co-variance computed using excel function COVARIANCE.S(B1:B11,A1:A11) where B1:B11 contains Time x column and A1:A11 contains Marks y column. The resulted co-variance is 98.52222.

b)

The correlation coefficient is computed as

Correlation coefficient=r=\frac{sum[(y-ybar)(x-xbar)]}{\sqrt{sum[(x-xbar)]^2sum[(y-ybar)]^2} }

(y-ybar)^2 (x-xbar)^2

26.01        1.69

79.21       10.89

50.41             2.89

198.81       68.89

436.81       187.69

37.21       28.09

123.21        5.29

327.61        86.49

47.61         13.69

620.01         114.49

sum(y-ybar)^2=1946.9

sum(x-xbar)^2=520.1

Correlation coefficient=r=\frac{886.7}{\sqrt{520.1(1946.9)} }

Correlation coefficient=r=\frac{886.7}{\sqrt{1012582.69} }

Correlation coefficient=r=\frac{886.7}{1006.2717 }

Correlation coefficient=r=0.881

The correlation coefficient computed using excel function CORREL(A1:A11,B1:B11) where B1:B11 contains Time x column and A1:A11 contains Marks y column. The resulted correlation coefficient is 0.881.

c)

The correlation coefficient and co-variance shows that there is positive association between marks and study time. The correlation coefficient suggest that there is strong positive association between marks and study time. It means that as the study time increases the marks of student also increases and if the study time decreases the marks of student also decreases.

The excel file is attached on which all the related work is done.

Download xlsx
7 0
3 years ago
Clairemont runs 10 km in 1 hour. how many kilometers does she run in half and hour? in 2 1/2 hours?
Darya [45]
She would run 15 km in an hour and a half and 25 km in 2 1/2 hours
3 0
3 years ago
A rectangle has a length that is 8 less than its width, w. The perimeter is 52. Which equation can be used to determine its widt
ankoles [38]
52= 2(w-8) + 2x
X is the unknown length because the question is only telling us one side of the rectangle
8 0
3 years ago
Liz wants to estimate the percentage of people who rent their home. She surveys 320 individuals and finds that 176 rent their ho
SOVA2 [1]

Answer: 0.065

Step-by-step explanation:

Given : Sample size : n= 320

The sample proportion of people who rent their home : p=\dfrac{176}{320}=0.55

Significance level : \alpha:1-0.98=0.02

Then , Critical value : z_{\alpha/2}=2.33

The formula to find the margin of error : -

E=z_{\alpha/2}\sqrt{\dfrac{p(1-p)}{n}}\\\\\Rightarrow\ E=(2.33)\sqrt{\dfrac{0.55(1-0.55)}{320}}\\\\\Rightarrow\ E=0.064799034281\approx0.065

Hence, the margin of error for the confidence interval for the population proportion with a 98% confidence level =0.065

4 0
2 years ago
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