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barxatty [35]
3 years ago
5

The daily amount of coffee, in liters, dispensedby a machine located in an airport lobby is a randomvariable X having a continuo

us uniform distributionwith A = 7 and B = 10. Find the probability thaton a given day the amount of coffee dispensed by thismachine will be(a) at most 8.8 liters;
Mathematics
1 answer:
Degger [83]3 years ago
3 0

Answer:

The probability that the machine will dispense at most 8.8 liters is 0.60

Step-by-step explanation:

A uniform distribution, also called a rectangular distribution, is a probability distribution that has constant probability.

The distribution is given by:

f(x)={\frac{1}{B-A}⇒A≤x≤B; 0 ⇒ elsewhere}

Hence,

P(x≤8.8)=\int\limits^{8.8}_7 {\frac{1}{B-A} } \, dx =\int\limits^{8.8}_7 {\frac{1}{10-7} } \, dx =\int\limits^{8.8}_7 {\frac{1}{3} } \, dx=\frac{1}{3}(8.8-7)=\frac{1}{3}(1.8)=0.6

The probability that the machine will dispense at most 8.8 liters is 0.60

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Which of the following statements is not​ true? A. If the probability of an event occurring is​ 1.5, then it is certain that eve
yawa3891 [41]

Answer:

Therefore, we conclude that the statement in (A) is incorrect.

Step-by-step explanation:

We have the following sentences:

A) If the probability of an event occurring is​ 1.5, then it is certain that event will occur.  

B) If the probability of an event occurring is​ 0, then it is impossible for that event to occur.

We know that the range of probability of an event occurring is in the segment [0, 1]. In statement under (A), we have the probability that  is equal to 1.5.

Therefore, we conclude that the statement in (A) is incorrect.

8 0
3 years ago
83,78, 99,56, 48, 74, 68,55,85
____ [38]

Answer:

48, 55, 56, 68, 74, 78, 83, 85, 99

Mean: 71.77777777777777777..........

Median: 74

Mode: mode is the number seen the most, but there is no repeating values

Range: 51

Step-by-step explanation:

<u>Mean:</u>

add all the values together, and divide by how many values you have, so 646/9= 71.777777777............

<u>Median:</u>

the number in the middle of the sequence

<u>Range:</u>

the difference between the largest and smallest numbers/values.

I hope this helps u pls give a brainliest and a thx ;)

3 0
3 years ago
Read 2 more answers
The width of a laptop is 11.25 inches. The width is 0.75 times the length. What is the length of the laptop?
Marat540 [252]
8.4375 is the correct answer
5 0
3 years ago
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According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a
Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

\mu = 7.5, \sigma = 1.1

What is the probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

This is the pvalue of Z when X = 8.6 subtracted by the pvalue of Z when X = 6.4. So

X = 8.6

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

Z = \frac{8.6 - 7.5}{1.1}

Z = 1

Z = 1 has a pvalue of 0.8413

X = 6.4

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

Z = \frac{6.4 - 7.5}{1.1}

Z = -1

Z = -1 has a pvalue of 0.1587

0.8413 - 0.1587 = 0.6826

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

6 0
3 years ago
Can someone help me please.
ANTONII [103]
8. is 16

10. is 5
11. is 10
7 0
3 years ago
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