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earnstyle [38]
3 years ago
6

If 8 pigs can fit in a pen, how many pens are necessary to make sure 71 pigs are all in a pen?

Mathematics
1 answer:
Ulleksa [173]3 years ago
7 0

Answer:

9

Step-by-step explanation:

Each pen can only hold 8 pigs, and pens cannot be split up into fractions.

Divide. 71 / 8 = 8.875

There is no 7/8 of a pen, so you must round up.

8.875 → 9.

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( I NEED THIS FAST)A speedometer has a percent error of 10%. The actual speed of the car is 40 mph. Select from the drop-down me
ikadub [295]

Answer = 36.0 mph


As per the question,


Actual speed of the car = 40 mph.

Speedometer has a percent error of 10%.

The error can be negative as well as positive.

If the error is negative, it means speedometer is showing less speed than actual speed= - 10%

10  % of 40 = 4

speed shown by speedometer = 40 - (10% of 40) = 36 mph

If the error is positive, it means speedometer is showing more speed than actual speed = +10%

speed shown by speedometer = 40 + ( 10% of 40) = 44 mph

as per the given options, correct option is 36.0 mph

6 0
3 years ago
Read 2 more answers
Leakage from underground gasoline tanks at service stations can damage the environment. It is estimated that 25% of these tanks
Gnesinka [82]

Answer:

a) 3.75

b) 23.61% probability that fewer than 3 tanks will be found to be leaking

c) 0% the probability that at least 600 of these tanks are leaking

Step-by-step explanation:

For each tank there are only two possible outcomes. EIther they leak, or they do not. The probability of a tank leaking is independent of other tanks. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

To solve question c), i am going to approximate the binomial distribution to the normal.

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

It is estimated that 25% of these tanks leak.

This means that p = 0.25

15 tanks chosen at random

This means that n = 15

a.What is the expected number of leaking tanks in such samples of 15?

E(X) = np = 15*0.25 = 3.75

b.What is the probability that fewer than 3 tanks will be found to be leaking?

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{15,0}.(0.25)^{0}.(0.75)^{15} = 0.0134

P(X = 1) = C_{15,1}.(0.25)^{1}.(0.75)^{14} = 0.0668

P(X = 2) = C_{15,2}.(0.25)^{2}.(0.75)^{13} = 0.1559

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0134 + 0.0668 + 0.1559 = 0.2361

23.61% probability that fewer than 3 tanks will be found to be leaking

c.Now you do a larger study, examining a random sample of 2000 tanks nationally. What is the probability that at least 600 of these tanks are leaking?

Now we have n = 2000. So

\mu = E(X) = np = 2000*0.25 = 500

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{2000*0.25*0.75} = 19.36

This probability is 1 subtracted by the pvalue of Z when X = 600. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{600 - 500}{19.36}

Z = 5.16

Z = 5.16 has a pvalue of 0.

0% the probability that at least 600 of these tanks are leaking

4 0
3 years ago
Round 425.919 to the nearest whole number
Alika [10]
Rounded to the nearest whole number would be 426 
8 0
3 years ago
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Courtney reads around 110 words per minute. She procrastinated and now has less than a week to finish her reading assignment. If
Fynjy0 [20]
820 pages X 350 words = 287,000 words 

<span>287,000 / 110 = 2.609.09 minutes </span>

<span>2.609.09 / 60 = 43.48 hours </span>

<span>It would take about 2 days of non-stop reading to finish her assignment</span>
5 0
3 years ago
-2.7+17.8+29.5+8.9=?
BARSIC [14]

Answer:

64.5

Step-by-step explanation:

64.5

6 0
2 years ago
Read 2 more answers
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