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2 years ago

Divide and express your answer to lowest term

Mathematics

1 answer:

musickatia [10]2 years ago

8 0

Step-by-step explanation:

3/4:2/5=3/4×5/2=15/8

3/8 ÷ 2/12=3/8 ×12/2=36/16=9/4

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Which of the following does not describe an advantage of having and/or using a credit card?

alina1380 [7]

Answer:

D since I had a test question of this and got it right.

Step-by-step explanation:

3 0

2 years ago

1+9x14+12=? please help fast

Klio2033 [76]

Answer:

139

Step-by-step explanation:

So we start with PEMDAS. (Parenthesis, Exponents, Multiplication, Division, Addition, Subtraction.)

Since we don't have parenthesis or exponents, we can go straight to multiplication. 9 multiplied by 14 is 126.

Now we go to addition. 126+1=127

127+12=139

Hope I helped :)

~Sunflower UwU

5 0

3 years ago

Read 2 more answers

A circle has a diameter of 14.5cm

Alenkasestr [34]

The radius will be 7.25cm
The circumference will be about 45.55
The area will be about 165.13

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3 years ago

What is hte vertex of f(x) = 5x^+20x-16

hjlf

What is the exponent ?

6 0

3 years ago

A sample of 5 buttons is randomly selected and the following diameters are measured in inches. Give a point estimate for the pop

Helen [10]

Answer:

$s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}$

But we need to calculate the mean with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_I}{n}$

And replacing we got:

$\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072$

And for the sample variance we have:

$s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003$

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance $\sigma^2$

$E(s^2) = \sigma^2$

Step-by-step explanation:

For this case we have the following data:

1.04,1.00,1.13,1.08,1.11

And in order to estimate the population variance we can use the sample variance formula:

$s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}$

But we need to calculate the mean with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_I}{n}$

And replacing we got:

$\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072$

And for the sample variance we have:

$s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003$

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance $\sigma^2$

$E(s^2) = \sigma^2$

3 0

3 years ago