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3 years ago

Solve for r.Show your work! 12=r -- (34 -- 2) pls help

Mathematics

2 answers:

kvv77 [185]3 years ago

7 0

Answer:

r=20

Step-by-step explanation:

34-2=32 32 - 12 =20 r= 20

lord [1]3 years ago

5 0

it was already answered LOL

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Is 5 tons greater than 3000 pounds

zzz [600]

No it is not because 5 tons is 10 thousand pounds

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4 years ago

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What is the value of y?

NNADVOKAT [17]

Answer:

b-65

Step-by-step explanation:

They give you 130 and so to get the next measure its 180-130 and you get 50. So the blank angle is 50. Then the next two angles are y which means theyre equal to each other so they have to be the same number. Get 180 again and subtract 50 and get 130. Split 130 in half and get 65.

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3 years ago

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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

Last year, a person wrote 123 checks. Let the random variable x represent the number of checks he wrote in one day, and assume

Sunny_sXe [5.5K]

Answer:The mean number of checks written per day = 0.3370

The standard deviation = 0.5805

The variance = 0.3370

Step-by-step explanation:

Let the random variable x represent the number of checks he wrote in one day.

Given : The number of checks written in last year = 123

Let the number of days in the year must be 365.

Now, the mean number of checks written per day will be :-

$\lambda=\dfrac{123}{365}=0.33698630137\approx0.3370$

We know that in Poisson distribution , the variance is equals to the mean value .

$\text{Thus , Variance }=\sigma^2= 0.3370$

$\Rightarrow\ \sigma=\sqrt{0.3370}=0.580517010948\approx0.5805$

Thus, Standard deviation = 0.5805

3 0

3 years ago

1. f(x) = x^3– 4x^2 – 7x + 10

True [87]

9514 1404 393

Answer:

zeros: {-2, 1, 5}

Step-by-step explanation:

A graphing calculator works nicely for identifying turning points, roots, increasing/decreasing intervals, and more.

8 0

3 years ago