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TiliK225 [7]
3 years ago
7

Can you help me please here is the image

Mathematics
1 answer:
dalvyx [7]3 years ago
8 0

Answer:

J= +6 This is the rule followed. Hope this helps!!:)

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Rationalise the denominator and simply
svlad2 [7]

▪▪▪▪▪▪▪▪▪▪▪▪▪  {\huge\mathfrak{Answer}}▪▪▪▪▪▪▪▪▪▪▪▪▪▪

Let's solve :

  • \dfrac{24}{ \sqrt{6} }

  • \dfrac{24}{ \sqrt{6} }  \times  \dfrac{ \sqrt{6} }{ \sqrt{6} }

  • \dfrac{24 \sqrt{6} }{6}

  • 4 \sqrt{6}
6 0
3 years ago
Read 2 more answers
Please help and fast
kirza4 [7]

A the slope of the line is 1

to calculate the slope m , use the ' gradient formula '

m = ( y₂ - y₁ ) /( x₂ - x₁ )

where (x₁, y₁ ) = 6, 3) and (x₂, y₂ ) = (9, 6)

m = \frac{6 - 3}{9 - 6} = \frac{3}{3} = 1


5 0
3 years ago
Order of operations and cross<br> reduce:<br> I got 20/3 but I think I’m wrong
poizon [28]

Answer:

130/81

simplified: 1 49/81

Step-by-step explanation:

I did the math

8 0
3 years ago
The​ heights, in​ inches, of the starting five players on a college basketball team are 6868​, 7373​, 7777​, 7575​, and 8484. Co
LenKa [72]

Answer:

The sample standard deviation of 5.95.9 inches differs from the population standard deviation of 5.25.2 inches because of their formulas for calculating it.

Step-by-step explanation:

We are given the​ heights, in​ inches, of the starting five players on a college basketball team ;

68, 73, 77, 75 and 84

Now whether we treat this data as sample data or population data, the mean height would remain same in both case because the formula for calculating mean is given by ;

     Mean = Sum of all data values ÷ No. of observations

     Mean = ( 68 + 73 + 77 + 75 + 84 ) ÷ 5 = 75.4 inches

So, numerically, the sample mean of 75.4 inches is the same as the population mean.

Now, coming to standard deviation there will be difference in both sample and population standard deviation and that difference occurs due to their formulas;

Formula for sample standard deviation = \frac{\sum (X_i - Xbar)^{2} }{n-1}

           where, X_i = each data value

                       X bar = Mean of data

                        n = no. of observations

Sample standard deviation = \frac{ (68 - 75.4)^{2} +(73 - 75.4)^{2}+(77- 75.4)^{2}+(75- 75.4)^{2}+(84 - 75.4)^{2} }{5-1}    

                                           = 5.9 inches

Whereas, Population standard deviation = \frac{\sum (X_i - Xbar)^{2} }{n}

   = \frac{ (68 - 75.4)^{2} +(73 - 75.4)^{2}+(77- 75.4)^{2}+(75- 75.4)^{2}+(84 - 75.4)^{2} }{5} = 5.2 inches .

So, that's why sample standard deviation of 5.95.9 inches differs from the population standard deviation of 5.25.2 inches only because of formula.

7 0
3 years ago
IM DIEING PLEASE HELP ME FOR BRAINLIEST
Helga [31]

Answer:

B

Step-by-step explanation:

y= 9,800 x 2 ^x = 1,254,400

Just substitute x for 7

y= 9800 x 2 ^7 = 1,254,400

8 0
3 years ago
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