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asambeis [7]
3 years ago
13

Travis works at a kite factory. He checks all the kites before they are packaged. Travis discovered that for every 28 kites that

passed inspection, there were 7 kites that did not pass: 4 kites did not have tails and 3 kites had the wrong colors.
Of the 476 kites Travis examined, how many did not have tails and how many had the wrong colors?
Mathematics
1 answer:
GarryVolchara [31]3 years ago
6 0
7??? because 3 plus 4 is 7
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1 7 1<br> What is the solution to the equation à x-5-6+3x?<br> X=-5<br> X=-4<br> OX= 4<br> X= 5
Over [174]

Answer:

there 5-5-6+35........

4 0
3 years ago
Need help on #6 step by step I'm so confused how this works I always get stuck
inna [77]
To find the variable x, set the two outside equations equal to each other because all sides are equal
x+13=3x+3
13=2x+3
10=2x
x=5

then to find h, you set the equation equal to 90 because that's how many degrees it is
2h-45=90
2h=135
h=67.5
6 0
3 years ago
You flip a coin 12 times. What is the probability of getting only one tails in all 12 tries?
tigry1 [53]

Answer: Aproxamatly  18.999999999999999

Step-by-step explanation:

5 0
3 years ago
In a large statistics course, 74% of the students passed the first exam, 72% of the students pass the second exam, and 58% of th
11111nata11111 [884]

Answer:

Required probability is 0.784 .

Step-by-step explanation:

We are given that in a large statistics course, 74% of the students passed the first exam, 72% of the students pass the second exam, and 58% of the students passed both exams.

Let Probability that the students passed the first exam = P(F) = 0.74

     Probability that the students passed the second exam = P(S) = 0.72

     Probability that the students passed both exams = P(F \bigcap S) = 0.58

Now, if the student passed the first exam, probability that he passed the second exam is given by the conditional probability of P(S/F) ;

As we know that conditional probability, P(A/B) = \frac{P(A\bigcap B)}{P(B) }

Similarly, P(S/F) = \frac{P(S\bigcap F)}{P(F) } = \frac{P(F\bigcap S)}{P(F) }  {As P(F \bigcap S) is same as P(S \bigcap F) }

                          = \frac{0.58}{0.74} = 0.784

Therefore, probability that he passed the second exam is 0.784 .

5 0
3 years ago
David wants to complete a hypothesis test with the least amount of probability for error. If he sets the significance level to 1
Brrunno [24]

Answer:

He could increase the sample size

Step-by-step explanation:

In hypothesis testing, the error associated with the test is affected by a number of factors. The first factor is the level of significance, alpha. This is the probability of type 1 error. The probability of rejecting the null hypothesis when it is indeed true.

The second factor is the size of the sample used. The larger the sample, the smaller the error since the characteristics of the sample will be closer to those of the entire population on which inference is being made

8 0
3 years ago
Read 2 more answers
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