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3 years ago

7

There are 128 ounces in a gallon. There are 444 quarts in a gallon.

1 answer:

Elena L [17]3 years ago

7 0

Answer:

There are 4 quarts in a gallon

Step-by-step explanation:

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Factor the following, I will give 5 stars and thanks.

tigry1 [53]

Answer:

13) $n=-3,-7$

14) $b=-4,-8$

15) $m=-7$

16) $a=-5,-7$

Step-by-step explanation:

5 0

3 years ago

Ellus<br> What is the measure of z?<br> 4<br> 16<br> z<br> X<br> Z =<br> ✓ [?]

Sholpan [36]

Answer:

$z=\sqrt{80}$

Step-by-step explanation:

By geometric mean property:

$y= \sqrt {16\times 4}$

$y= \sqrt {64}$

$y= 8$

By Pythagoras Theorem:

$z=\sqrt{4^2 +8^2}$

$z=\sqrt{16 + 64}$

$z=\sqrt{80}$

8 0

3 years ago

For a project, Carlos must provide one cut-out paper model of each type of triangle: acute, right, and obtuse. He sketches each

koban [17]

I would most likely say 12.5 square units

3 0

2 years ago

State five important properties of whole numbers ?

hjlf

Closure for addition and multiplication.

Commutative property for addition and multiplication.

Associative property for addition and multiplication.

Distributive property of multiplication over addition.

Identity for addition and multiplication.

Hope this helps; have a great day!

4 0

3 years ago

A manufacturer of coffee vending machines has designed a new, less expensive machine. The current machine is known to dispense (

cupoosta [38]

Answer:

$t=(15-1) [\frac{0.219}{0.2}]^2 =16.7864$

$p_v = 2*P(\chi^2_{14}>16.786)=0.5355$

And the 2 is because we are conducting a bilateral test.

$\alpha=0.05$ since the the $p_v >0.05$ we fail to reject the null hypothesis.

$\alpha=0.01$ since the the $p_v >0.01$ we fail to reject the null hypothesis.

Step-by-step explanation:

Data given

$\mu=7$ population mean (variable of interest)

$\sigma=0.2$ represent the population standard deviation

$s=0.219$ represent the sample deviation

n=15 represent the sample size

$\alpha=0.05,0.01$ represent the values for the significance level

Hypothesis test

On this case we want to check if the population standard deviation is equal or not to 0.2, so the system of hypothesis are:

H0: $\sigma = 0.2$

H1: $\sigma \neq 0.2$

In order to check the hypothesis we need to calculate the statistic given by the following formula:

$t=(n-1) [\frac{s}{\sigma_o}]^2$

This statistic have a Chi Square distribution distribution with n-1 degrees of freedom.

What is the value of your test statistic?

Now we have everything to replace into the formula for the statistic and we got:

$t=(15-1) [\frac{0.219}{0.2}]^2 =16.7864$

P value

We know the degrees of freedom of the distribution 14 on this case and we can find the p value like this:

$p_v = 2*P(\chi^2_{14}>16.786)=0.5355$

And the 2 is because we are conducting a bilateral test.

$\alpha=0.05$ since the the $p_v >0.05$ we fail to reject the null hypothesis.

$\alpha=0.01$ since the the $p_v >0.01$ we fail to reject the null hypothesis.

3 0

3 years ago