<h3>SolutioN :- </h3>
Here we are provided with a diagram of a triangle. We need to find out the length of the segment LM . As we can see that ,
∆ KNL <u>≈</u> MNL , [ By AAS ]
Therefore ,
⇒ KN = MN
⇒ 14x - 3 = 25
⇒ 14x = 25 + 3
⇒ 14x = 28
⇒ x = 2
<u>Put </u><u>this</u><u> </u><u>x </u><u>=</u><u> </u><u>2</u><u> </u><u>in </u><u>LM </u><u>:</u><u>-</u><u> </u>
⇒ LM = 9x + 5
⇒ LM = 9*2 + 5
⇒ LM = 18 + 5
⇒ LM = 23
<u>Hence </u><u>the</u><u> </u><u>required</u><u> answer</u><u> is</u><u> </u><u>2</u><u>3</u><u> </u><u>.</u>
<h3>Given</h3>
- 40% of work week is 16 hours
<h3>Find</h3>
<h3>Solution</h3>
Write the given information as an equation.
... 0.40 × (work week) = 16 hours
Divide by the factor you don't want (0.40).
... (work week) = (16/0.40) hours
... work week = 40 hours
_____
40% means 40/100 (forty hundredths) or 0.40 (forty hundredths). (The % symbol is a shorthand way to write /100.)
Answer:
9 hours
Step-by-step explanation:
First we have to calculate how many eggs she can collect in an hour. All we have to do to do this is divide 80 by 2, as if she can collect 80 in 2 hours, in one hour, half of the time, she can collect have of the eggs. This means that she can collect 40 eggs in one hour.
Now all we have to do is divide how many eggs she wants to collect by how many she can collect per hour, which will give how many hours it will take. In this case 360/40=9, so it will take her 9 hours.
Answer:
6 : 1
Step-by-step explanation:
A unit rate has to be "a number to 1" or "x:1". Here we have a number to 1/4. Multiply both numbers by 4 so the 1/4 becomes 1.
3/2 * 4 = 12/2 = 6
1/4 * 4 = 1
3/2 : 1/4 is the same as 6 : 1
Answer:
The probability that the mean of this sample is less than 16.1 ounces of beverage is 0.0537.
Step-by-step explanation:
We are given that the average amount of a beverage in randomly selected 16-ounce beverage can is 16.18 ounces with a standard deviation of 0.4 ounces.
A random sample of sixty-five 16-ounce beverage cans are selected
Let
= <u><em>sample mean amount of a beverage</em></u>
The z-score probability distribution for the sample mean is given by;
Z =
~ N(0,1)
where,
= population mean amount of a beverage = 16.18 ounces
= standard deviation = 0.4 ounces
n = sample of 16-ounce beverage cans = 65
Now, the probability that the mean of this sample is less than 16.1 ounces of beverage is given by = P(
< 16.1 ounces)
P(
< 16.1 ounces) = P(
<
) = P(Z < -1.61) = 1 - P(Z
1.61)
= 1 - 0.9463 = <u>0.0537</u>
The above probability is calculated by looking at the value of x = 1.61 in the z table which has an area of 0.9591.