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3 years ago

How to write 89,170,326 in expanded form

Mathematics

2 answers:

noname [10]3 years ago

6 0

80,000,000 + 9,000,000 + 100,00 + 70,000 +300 + 20 + 6

iVinArrow [24]3 years ago

6 0

the answer is 80,000,000 + 9,000,000 + 100,00 + 70,000 +300 + 20 + 6

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Please help.........

Alex

Answer:

- $\frac{61}{11}$

Step-by-step explanation:

$\frac{x}{y}$ = $\frac{5}{6}$ ( cross- multiply )

6x = 5y ( divide both sides by 6 )

x = $\frac{5}{6}$ y

Then

$\frac{5x+6y}{5x-6y}$ ← substitute x = $\frac{5}{6}$ y into the expression

= $\frac{\frac{25}{6}y+6y }{\frac{25}{6}y-6y }$

= $\frac{\frac{61}{6}y }{-\frac{11}{6}y }$

= $\frac{\frac{61}{6} }{-\frac{11}{6} }$

= $\frac{61}{6}$ × - $\frac{6}{11}$

= - $\frac{61}{11}$

3 0

3 years ago

Need whole page 20 points worth

Ket [755]

Option b is the better deal

7 0

2 years ago

Please and thank you

algol [13]

Answer:

the last one

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

What is the increase in price?

xeze [42]

Answer:

the pic is not clear maybe you type it out

6 0

2 years ago

The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airp

motikmotik

Answer:

The 95% confidence interval for the population mean rating is (5.73, 6.95).

Step-by-step explanation:

We start by calculating the mean and standard deviation of the sample:

$M=\dfrac{1}{n}\sum_{i=1}^n\,x_i\\\\\\M=\dfrac{1}{50}(6+4+6+. . .+6)\\\\\\M=\dfrac{317}{50}\\\\\\M=6.34\\\\\\s=\sqrt{\dfrac{1}{n-1}\sum_{i=1}^n\,(x_i-M)^2}\\\\\\s=\sqrt{\dfrac{1}{49}((6-6.34)^2+(4-6.34)^2+(6-6.34)^2+. . . +(6-6.34)^2)}\\\\\\s=\sqrt{\dfrac{229.22}{49}}\\\\\\s=\sqrt{4.68}=2.16\\\\\\$

We have to calculate a 95% confidence interval for the mean.

The population standard deviation is not known, so we have to estimate it from the sample standard deviation and use a t-students distribution to calculate the critical value.

The sample mean is M=6.34.

The sample size is N=50.

When σ is not known, s divided by the square root of N is used as an estimate of σM:

$s_M=\dfrac{s}{\sqrt{N}}=\dfrac{2.16}{\sqrt{50}}=\dfrac{2.16}{7.071}=0.305$