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Marrrta [24]
2 years ago
13

At the beginning of his diet, jack weighed 240 4/5 pounds. At the end of the diet, he weighed 3/4 his original weight. What did

jack weigh at the end of the diet?
Mathematics
2 answers:
qwelly [4]2 years ago
7 0

Answer:

180.6 lb

Step-by-step explanation:

240 4/5 = 240.8

240.8 / 4 = 60.2

60.2 x 3 = 180.6 lb

ra1l [238]2 years ago
7 0
So we start of with Jack weighing in at 240 and 4/5 pounds (240.8). You start by multiplying 3/4 by the 240.8 lbs. This will give you 180.6 pounds. (Or 180 and 3/5 in fraction terms.)
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7 0
3 years ago
SOMEONE HELP ITS DUE TONIGHT
il63 [147K]

Answer:

n=27 degrees

m=36 degrees

Step-by-step explanation:

So the inside triangle has two equal sides. To find these angles you would do the degrees of a triangle (180) minus the known value and then divided by two.

so it is: 180-126/2 which gives you 27 degrees.

this means the n value is 27.

to find m, you have to take away 90 degrees and the n value from 180.

so it is: 180-90-27 which gives you 63 degrees.

now you must take the smaller angle from 63 degrees to find m.

so it is: 63-27 which gives you 36

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8 0
2 years ago
How to find the area
Virty [35]

Just like you drew those dotted lines. You know how to find the areas of rectangles which is A=length x width

The answer would be 20cm^2+6cm^2+18cm^2=44 cm^2


7 0
3 years ago
Read 2 more answers
EU (European Union) countries report that 46% of their labor force is female. The United Nations wants to determine if the perce
miss Akunina [59]

Answer:

b. We are 95% confident that between 35.5% and 44.3% of the persons in the U.S. labor force is female.

Step-by-step explanation:

1) Data given and notation  

n=500 represent the random sample taken    

X represent the number of females in the U.S. labor force

\hat p=0.46 estimated proportion of females in the U.S. labor force

\alpha=0.05 represent the significance level (no given, but is assumed)    

z would represent the statistic    

p= population proportion of females in the U.S. labor force

2) Confidence interval

The confidence interval would be given by this formula

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

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

And replacing into the confidence interval formula we got:

0.46 - 1.96 \sqrt{\frac{0.46(1-0.46)}{500}}=0.416

0.46 + 2.58 \sqrt{\frac{0.46(1-0.46)}{500}}=0.504

On this case the calculated interval is not the given , but let's assume that the confidence interval is given by the statment: "United States Department of Labor find that 95% confidence interval for the proportion of females in the U.S. labor force is .357 to .443."

3) Correct interpretation

a. The margin of error for the true percentage of females in the U.S. labor force is between 35.7% and 44.3%.

False the confidence interval not conclude about the margin of error conclude about the true proportion.

b. We are 95% confident that between 35.5% and 44.3% of the persons in the U.S. labor force is female.

True, the statement report the confidence level and the limits for the margin of error.

c. The percentage of females in the U.S. labro force is between 35.7% and 44.3%.

False, The statement is not correct because not reports the confidence level.

d. All sample of size 500 will yield a percentage of females in the U.S. labor force that falls within 35.7% and 44.3%

False the confidence interval is for the population proportion not just for the samples of size 500

e. None of these.

False, we have an option that is true.

8 0
2 years ago
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