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madam [21]
3 years ago
15

Of the 13 people who have taken their seats at a seminar, 5 have red hair. What is the experimental probability that the next pe

rson to take a seat will have red hair?
Simplify your answer and write it as a fraction or whole number.

P(red) =
Mathematics
2 answers:
trapecia [35]3 years ago
7 0

Answer:

5/13

Step-by-step explanation:

P(red) =  

red

total

=  

5

13

Mekhanik [1.2K]3 years ago
3 0

Answer:

5/13

Step-by-step explanation:

The experimental probability is the number of times an event occurs out of the total number of trials.

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Step-by-step explanation:

They have the same slope so they are parallel and will never intersect.

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Find the missing side round to the nearest tenth can someone please help me this is my last question
jeka57 [31]

The question is related to trigonometric ratio rule .

In the given diagram, there is a right angle triangle, with adjacent =57, and the unknown side is y. Given angle measurement is 39 .

To find the measurement of y, we will use tan rule which is

tan \Theta = \frac{opposite}{adjacent}

tan 39=\frac{y}{57}

y = 57 tan 39 = 46.2

8 0
3 years ago
A pew research Center project on the state of news media showed that the clearest pattern of news audience growth in 2012 came o
KengaRu [80]

Answer:

Step-by-step explanation:

Given that:

the sample proportion p = 0.39

sample size = 100

Then np = 39

Using normal approximation

The sampling distribution from the sample proportion is approximately normal.

Thus, mean \mu _{\hat p} = p = 0.39

The standard deviation;

\sigma = \sqrt{\dfrac{p(1-p)}{n} }

\sigma = \sqrt{\dfrac{0.39(1-0.39)}{100} }

\sigma = 0.048

The test statistics can be computed as:

Z = \dfrac{{\hat _{p}} - \mu_{_ {\hat p}} }{\sigma_{\hat p}}

Z = \dfrac{0.3 - 0.39 }{0.0488}

Z = -1. 8 4

From the z - tables;

P (\hat p \le 0.3 ) = P(z \le -1.84)

\mathbf{P (\hat p \le 0.3 ) = 0.0329}

(b)

Here;

the sample proportion = 0.39

the sample size n = 400

Since np = 400 * 0.39 = 156

Thus, using normal approximation.

From the sample proportion, the sampling distribution is approximate to the mean \mu_{\hat p} =  p = 0.39

the standard deviation \sigma_{\hat p} = \sqrt{\dfrac{p(1-p)}{n} }

\sigma_{\hat p} = \sqrt{\dfrac{0.39 (1-0.39)}{400} }

\sigma_{\hat p} =0.0244

The test statistics can be computed as:

Z = \dfrac{{\hat _{p}} - \mu_{_ {\hat p}} }{\sigma_{\hat p}}

Z = \dfrac{0.3 - 0.39 }{0.0244}

Z = -3.69

From the z - tables;

P (\hat p \le 0.3 ) = P(z \le -3.69)

\mathbf{P (\hat p \le 0.3 ) = 0.0001}

(c) The effect of the sample size on the sampling distribution is that:

As sample size builds up, the standard deviation of the sampling distribution decreases.

In addition to that, reduction in the standard deviation resulted in increases in the Z score, and the probability of having a sample proportion  that is less than 30% also decreases.

6 0
3 years ago
If the odds against an event are 3:5, then the probability that the event will fail to occur is
damaskus [11]

Answer:

3/8

Step-by-step explanation:

probability = wanted outcomes / total outcomes

odds = wanted outcomes / unwanted outcomes

Odds of 3:5 losing means 3 losing outcomes and 5 winning outcomes.

The total outcomes is 8

The probability of losing which is the probability that the event will fail to occur is 3/8.

3 0
2 years ago
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