All categories

3 years ago

Guys I need help, this is so important for my grade

Mathematics

1 answer:

Dmitrij [34]3 years ago

8 0

Answer:

For Part C) use numbers 1 2 3 4.

Step-by-step explanation:

You might be interested in

PLZZ HELP ASAP MEH DUDES

Dmitrij [34]

Answer:

No solutions

Step-by-step explanation:

-3x-9=-3x-11

-3x and -3x cancel each other out

-9=-11

False

I recommend getting DESMOS graphing calculator for this sort of problem ;)

5 0

3 years ago

Read 2 more answers

MULTIPLE CHOICE QUESTION

just olya [345]

Answer:

(-4, 5)

Step-by-step explanation:

x will never change if reflected over it. but y will be negative. also what do you mean by y coordinate or x coordinate?

8 0

3 years ago

Solve the equation using multiplication or division.

Brut [27]

Answer:

y=-4

Step-by-step explanation:

-7y=28

DIVIDE BY -7

28/-7=-4

Answer=-4

3 0

1 year 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

5x+3(3x−43)=............

Anvisha [2.4K]

14x - 129 (I think I’m so sorry if it’s wrong)

6 0

3 years ago

Read 2 more answers