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Delicious77 [7]
3 years ago
10

છે કે.what does x equal​

Mathematics
1 answer:
pantera1 [17]3 years ago
4 0

Answer: what’s the problem

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The value would be 3
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A manager checked production records and found that a worker produced 160 units while working 40 hours. In the previous week, th
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Decrease

Step-by-step explanation:

160/40 = 4 units/hour

138/36 = 3.833 units/hour

3.833 < 4

So it's a decrease

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4 years ago
Simplify: 6 + √27 / 3
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Answer:

6 + √27 / 3

6+ (3√3/3)

6+√3

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3 years ago
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In a​ region, 90​% of the population have brown eyes. If 15 people are randomly​ selected, find the probability that at least 13
Andrew [12]

Answer:

a) P(X \geq 13) = P(X=13) +P(X=14) +P(X=15)

P(X=13)=(15C13)(0.9)^{13} (1-0.9)^{15-13}=0.267  

P(X=14)=(15C14)(0.9)^{14} (1-0.9)^{15-14}=0.343  

P(X=15)=(15C15)(0.9)^{15} (1-0.9)^{15-15}=0.206  

And replacing we got:

P(X \geq 13) = P(X=13) +P(X=14) +P(X=15)=0.267+0.343+0.206=0.816

b) D. No​, because the probability of this occurring is not small.

Step-by-step explanation:

Previous concepts  

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".  

Part a

If 15 people are randomly​ selected, find the probability that at least 13 of them have brown eyes.

Let X the random variable of interest, on this case we now that:  

X \sim Binom(n=15, p=0.90)  

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

And we want to find this probability:

P(X \geq 13) = P(X=13) +P(X=14) +P(X=15)

P(X=13)=(15C13)(0.9)^{13} (1-0.9)^{15-13}=0.267  

P(X=14)=(15C14)(0.9)^{14} (1-0.9)^{15-14}=0.343  

P(X=15)=(15C15)(0.9)^{15} (1-0.9)^{15-15}=0.206  

And replacing we got:

P(X \geq 13) = P(X=13) +P(X=14) +P(X=15)=0.267+0.343+0.206=0.816

Part b

Is it unusual to randomly select 15 people and find that at least 13 of them have brown​ eyes? Note that a small probability is one that is less than 0.05.

Since our calculated probability is too higher compared to 0.05 we can conclude this:

D. No​, because the probability of this occurring is not small.

7 0
4 years ago
Help and if you actually answer I'll give you brainliest​
schepotkina [342]

Answer:

1) 2/3

2) 1/2

3) 4/5

4) 3/4

Step-by-step explanation:

4/6 can be divided by 2 to get 2/3 in its simplest

2/4 can be divided by 2 to get 1/2 in its simplest

12/15 can be divided by 3 to get 4/5 in its simplest

6/8 can be divided by 2 to get 3/4 in its simplest

6 0
3 years ago
Read 2 more answers
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