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Darina [25.2K]
4 years ago
6

A coin is tossed 5 times. Find the probability that exactly 1 is a tail. Find the probability that at most 2 are tails.

Mathematics
1 answer:
Natalija [7]4 years ago
4 0

Answer:

Step-by-step explanation:

<h2>First question</h2>

The only possibilities where there is exactly 1 tail are:

  1. (t,h,h,h,h)
  2. (h,t,h,h,h)
  3. (h,h,t,h,h)
  4. (h,h,h,t,h)
  5. (h,h,h,h,t)

those are 5 favorable outcomes.

where <em>h represent heads</em> and <em>t represent tails. </em>There are 2^5 32 total number of outcomes after tossing the coin 5 times. Because every time you toss the coin, you have 2 possibilities, and as you do it 5 times, those are 2^5 options. We can conclude from this that

The probability that exactly 1 is a tail is 5/32.

<h2>Second question</h2>

We already know the total number of outcomes; 32.  Now we need to find the number of favorable outcomes. In order to do that, we can divide our search in three cases: <em>1.-there are no tails, 2.-exactly 1 is a tail, 3.- exactly 2 are tails.</em>

The first case is 1 when every coin is a head. The second case we already solved it, and there are 5. The third case is the interesting one, we can count the outcomes as we did in the previous questions, but that's only because there are not too many outcomes.  Instead we are going to use combinations:

We need to have <u>2</u> tails, the other coins are going to be heads. We made <u>5</u> tosses, then the possible combinations are C_{5,2} = \frac{5!}{3!2!} = \frac{120}{6*2} = 10

Finally, we conclude that there are 1 + 5 + 10 favorable outcomes, and this implies that

The probability that at most 2 are tails is \frac{16}{32} = \frac{1}{2}.

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Some jobs pay a commission plus a bonus at the end of the year. The
RSB [31]

Answer:

a) If Sales = $6412454, then Gross Pay = $471315.369.

If Sales = $412454, then Gross Pay = $30315.369.

b) If Sales = $316250, then Gross Pay = $23244.375.

Step-by-step explanation:

This is a simple question. Madelyn earns a commission plus a bonus from her job. The commission is 7% of sales and the bonus is 5% of the commission. Therefore:

a) If her sales are $6412454, then her gross pay will include:

Gross Pay = $6412454 * 7% + ($6412454 * 7%) * 5%.

Gross Pay = $448871.78 + $22443.589 .

Gross Pay = $471315.369.

I assume there is a typo in the question, so just in case, I will also calculate the gross pay for her sales equaling $412454.

Gross Pay = $412454 * 7% + ($412454 * 7%) * 5%.

Gross Pay = $28871.78 + $1443.589 .

Gross Pay = $30315.369.

b) If her sales are $316250, then her gross pay will include:

Gross Pay = $316250 * 7% + ($316250 * 7%) * 5%.

Gross Pay = $22137.5 + $1106.875  .

Gross Pay = $23244.375.

To summarize:

If Sales = $6412454, then Gross Pay = $471315.369!!!

If Sales = $412454, then Gross Pay = $30315.369!!!

If Sales = $316250, then Gross Pay = $23244.375!!!

8 0
3 years ago
I don't understand how to do this
Masteriza [31]
The answer to the question

6 0
3 years ago
According to the National Beer Wholesalers Association, U.S. consumers years and older consumed gallons of beer and cider per pe
12345 [234]

Complete question :

According to the National Beer Wholesalers Association, U.S. consumers 21 years and older consumed 26.9 gallons of beer and cider per person during 2017. A distributor in Milwaukee believes that beer and cider consumption are higher in that city. A sample of consumers 21 years and older in Milwaukee will be taken, and the sample mean 2017 beer and cider consumption will be used to test the following null and alternative hypotheses:

H, :μ< 26.9

Ha : μ> 26.9

a. Assume the sample data led to rejection of the null hypothesis. What would be your conclusion about consumption of beer and cider in Milwaukee?

b. What is the Type I error in this situation? What are the consequences of making this error?

c. What is the Type II error in this situation? What are the consequences of making this error?

Answer:

Kindly check explanation

Step-by-step explanation:

Given the null and alternative hypothesis :

H0 :μ< 26.9

Ha : μ> 26.9

Assume the Null hypothesis is rejected ;

We conclude that there is significant evidence that the mean consumption of beer and cider is higher in the city (more than 26.9 gallons).

B.) Type 1 error is committed when the Null hypothesis is incorrectly rejected.

C.) Type 2 error is committed when we fail to reject a false null hypothesis. In this scenario, we fail to conclude that the average consumption of beer and cider is more than 26.9 gallons per person.

5 0
3 years ago
I need the answer pleaseeeeeeeee
Vaselesa [24]
I'm thinking you would have to add the probabilities that you choose a boy with you choose someone in the science club minus a boy in the science club. You can't count these people twice. I'm getting 59% (11+10-2)/32
7 0
3 years ago
Battery life for a hand-held computer is normally distrituted and has a population standard deviation of 8 hours. Suppose you ne
Anton [14]

Answer:

Sample size= 956

Step-by-step explanation:

Hello!

You need to construct an 80% CI for the average life of batteries. (hours)

The study variable is:

X: Lifespan of a battery.

X~N(μ; σ²)

The population standard devition isσ= 8

The interval to estimate the population mean follows the structure:

"Point estimator" ± "margin of error"

X[bar] ± Z_{1-\alpha /2}* (σ/√n)

X[bar] is the sample mean

Z_{1-\alpha /2}* (σ/√n) is the margin of error of the interval (d)

Using the margin of error you can calculate the sample size:

d= Z_{1-\alpha /2}* (σ/√n)

n= (σ* \frac{Z_{1-\alpha /2}}{d})²

n= (8*(\frac{1.283}{0.332} ))^2

n= 955.77 ≅ 956

I hope it helps!

7 0
4 years ago
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