All categories

2 years ago

A chemical's color would be an example of?

Mathematics

1 answer:

Mashcka [7]2 years ago

3 0

It could be an example of The level of its pH

You might be interested in

Gabriel went shopping for a new camera. The listed price of the camera was $37, but the price with tax came to $40.33. Find the

torisob [31]

3.33%

Step-by-step explanation:

40.33-37=3.33

3.33/100=0.0333

0.0333 as a percent is 3.33

7 0

1 year ago

Simplify -r+8(-5r-2)

Lapatulllka [165]

Answer:

-41r - 16

Step-by-step explanation:

Step 1 :

Step 2 :

Pulling out like terms :

2.1 Pull out like factors :

-5r - 2 = -1 • (5r + 2)

Equation at the end of step 2 :

-r + -8 • (5r + 2)

Step 3 :

Step 4 :

Pulling out like terms :

4.1 Pull out like factors :

-41r - 16 = -1 • (41r + 16)

6 0

2 years ago

What does X and Y equal

VladimirAG [237]

E Bc I do this type of wok pretty easy

5 0

2 years ago

PTC is a substance that has a strong bitter taste for some people and is tasteless for others. The ability to taste PTC is inher

lana66690 [7]

Answer:

a) $n=\frac{0.76(1-0.76)}{(\frac{0.01}{1.64})^2}=4905.83$

And rounded up we have that n=4906

b) For this case since we don't have prior info we need to use as estimatro for the proportion $\hat p =0.5$

$n=\frac{0.5(1-0.5)}{(\frac{0.01}{1.64})^2}=6724$

And rounded up we have that n=6724

Step-by-step explanation:

We need to remember that the confidence interval for the true proportion is given by :

$\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$

Part a

The estimated proportion for this case is $\hat p =0.76$

Our interval is at 90% of confidence, and the significance level is given by $\alpha=1-0.90=0.1$ and $\alpha/2 =0.05$ . The critical values for this case are:

$z_{\alpha/2}=-1.64, t_{1-\alpha/2}=1.64$

The margin of error for the proportion interval is given by this formula:

$ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$ (a)

The margin of error desired is given $ME =\pm 0.01$ and we are interested in order to find the value of n, if we solve n from equation (a) we got:

$n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}$ (b)

Replacing we got:

$n=\frac{0.76(1-0.76)}{(\frac{0.01}{1.64})^2}=4905.83$

And rounded up we have that n=4906

Part b

For this case since we don't have prior info we need to use as estimatro for the proportion $\hat p =0.5$

$n=\frac{0.5(1-0.5)}{(\frac{0.01}{1.64})^2}=6724$

And rounded up we have that n=6724

3 0

2 years ago

He tells you that each small pizza only gets ⅛ of a pound of cheese. Sal yells for you to run to the cooler and get the exact am

sleet_krkn [62]

Answer:

2 pounds

Step-by-step explanation:

8 pizzas= 1 pound of cheese

8+8=16

16 pizzas = 2 pounds of cheese

3 0

1 year ago