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timurjin [86]
3 years ago
13

What is .50 as a benchmark fraction

Mathematics
2 answers:
Alinara [238K]3 years ago
7 0

Answer: 1/2

Step-by-step explanation:

Lubov Fominskaja [6]3 years ago
3 0

Answer:

1/2

Step-by-step explanation:

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What is the volume of an equilateral triangular prism?
Nata [24]
Actually, the "slant height" is 4, but the vertical height or "altitude" of the equilateral triangle is not 4

but anyway.....\bf \begin{array}{cllll}
\textit{height of an equilateral triangle}\\\\
h=\cfrac{s\sqrt{3}}{2}\\
----------\\
\textit{area of an equilateral triangle}\\\\
A=\cfrac{s^2\sqrt{3}}{4}
\end{array}\qquad s=\textit{length of one side}

and the volume, is the area of the triangle, times the length, so, whatever you get for the area of the triangle * 10
6 0
3 years ago
7). Tim has 9 chocolate chip cookies and 18 peanut butter cookies. He
Naily [24]

Answer:

2 groups

Step-by-step explanation:

  1. 18 ÷ 9 = 2 groups

I hope this helps!

4 0
3 years ago
In tests of a computer component, it is found that the mean time between failures is 937 hours. A modification is made which is
VladimirAG [237]

Answer:

Null hypothesis is \mathbf {H_o: \mu > 937}

Alternative hypothesis is \mathbf {H_a: \mu < 937}

Test Statistics z = 2.65

CONCLUSION:

Since test statistics is greater than  critical value; we reject the null hypothesis. Thus, there is sufficient evidence to support the claim that the modified components have a longer mean time between failures.

P- value = 0.004025

Step-by-step explanation:

Given that:

Mean \overline x = 960 hours

Sample size n = 36

Mean population \mu = 937

Standard deviation \sigma = 52

Given that the mean  time between failures is 937 hours. The objective is to determine if the mean time between failures is greater than 937 hours

Null hypothesis is \mathbf {H_o: \mu > 937}

Alternative hypothesis is \mathbf {H_a: \mu < 937}

Degree of freedom = n-1

Degree of freedom = 36-1

Degree of freedom = 35

The level of significance ∝ = 0.01

SInce the degree of freedom is 35 and the level of significance ∝ = 0.01;

from t-table t(0.99,35), the critical value = 2.438

The test statistics is :

Z = \dfrac{\overline x - \mu }{\dfrac{\sigma}{\sqrt{n}}}

Z = \dfrac{960-937 }{\dfrac{52}{\sqrt{36}}}

Z = \dfrac{23}{8.66}

Z = 2.65

The decision rule is to reject null hypothesis   if  test statistics is greater than  critical value.

CONCLUSION:

Since test statistics is greater than  critical value; we reject the null hypothesis. Thus, there is sufficient evidence to support the claim that the modified components have a longer mean time between failures.

The P-value can be calculated as follows:

find P(z < - 2.65) from normal distribution tables

= 1 - P (z ≤ 2.65)

= 1 - 0.995975     (using the Excel Function: =NORMDIST(z))

= 0.004025

6 0
3 years ago
Which ordered pairs are solutions to the inequality 2x-y&gt;1?
RideAnS [48]

Answer:

Any points in the shaded region including (2,-2) and (-3,-8)

Step-by-step explanation:

Convert the line into slope intercept form and graph it.

2x-y > 1 becomes -y>1-2x. Divide both sides by -1 and you get y<2x-1. Graph it with the shaded area on the right and a dashed line.

Any point which falls within the shaded red of the graph is a solution. No points on the line since it is not equal to (its dashed) are solutions. Check the location of your points to verify that they fall within this area.

(-3, -8)  ---Yes

(-1, -3)  ---No

(0, 5)  --- No

(1, 6)  --- No

(2, -2) ---Yes

8 0
3 years ago
Find the difference of (4.2x10^3)-(2.7x10^3) <br> Show work!
rewona [7]

Step-by-step explanation:

Is it helpful ?

plz let me know

4 0
3 years ago
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