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gogolik [260]
2 years ago
14

Consider the following scenario. Bob is playing a board game where he blindly picks a tile from a container and moves some space

s. The container has 5 red tiles, 11 green tiles, and 4 blue tiles. If he draws a red tile, he moves forward 12 spaces. If he draws a green tile, he stays put. If he draws a blue tile, he moves backward 15 spaces. Use mathematical calculations to show whether or not the game is fair. That is, show whether Bob will hover around the same space (fair) or, over time, move away from the starting point (not fair). Show all of your calculations for full credit.
Mathematics
2 answers:
postnew [5]2 years ago
7 0
The game is fair. 

Pls. see my attachment. 

Download pdf
Alja [10]2 years ago
5 0

Answer:

Yes, the game is fair.

Step-by-step explanation:

In order to check that the game is fair we will see that the total expectation is zero.

i.e. Bob will hover around the same place.

There are total 20 tiles in a container.

( Since 5 red tile+11 green tile + 4 blue tile=20 tiles)

The probability of choosing a red tile is:

    Number of red tile/total number of tiles

     =  5/20

Also, the probability of choosing a green tile is:

   Number of green tile/Total number of tiles

 = 11/20

Also, the probability of choosing a blue tile is:

   Number of blue tiles/ Total number of tiles

     =  4/20

Let E denote the expectation of an event.

Hence,

E(Red\ tile)=\dfrac{5}{20}\times (+12)

Since when a red tile is drawn Bob moves 12 spaces forward.

E( Red\ tile)=\dfrac{60}{20}

Similarly

E(Green\ tile)=\dfrac{11}{20}\times (0)

Since when a green tile is drawn Bob remains at the same place.

E( Green\ tile)=0

and

E(Blue\ tile)=\dfrac{4}{20}\times (-15)

Since when a blue tile is drawn Bob moves 15 spaces backward

E(Blue\ tile)=\dfrac{-60}{20}

Hence, total expectation is:

=E(Red\ tile)+E(Green\ tile)+E(Blue\ tile)\\\\\\=\dfrac{60}{20}+0-\dfrac{60}{20}\\\\=0

       This means that he will around the same place.

             Hence, the game is fair.

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Flip two coins 100 times, and record the results of each coin toss in a table like the one below:
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Answer:

1)The theoretical probability that a coin toss results in two heads showing is 25%.

2)The experimental probability that a coin toss results in two heads showing is 44%.

3) The theoretical probability that a coin toss results in two tails showing is 25%.

4) The experimental probability that a coin toss results in two tails showing is 34%.

5) The theoretical probability that a coin toss results in one head and one tail showing is 50%.

6) The experimental probability that a coin toss results in a head and a tail is 22%.

7) The experimental probabilities are slightly different from the theoretical probabilities because the number of experiments is relatively small. As the number of experiments increase, the experimental probabilities will get closer to the theoretical probabilities.

Step-by-step explanation:

Probability:

What you want to happen is the desired outcome.

Everything that can happen iis the total outcomes.

The probability is the division of the number of possible outcomes by the number of total outcomes.

Theoretical Probability:

The results you expect to happen.

Experimental Probability:

The probability determined from the result of an experiment.

1. What is the theoretical probability that a coin toss results in two heads showing?

In each toss, the theoretical  probability that a coin toss results in a head showing is 50%.

So for two coins, the probability is:

P = (0.5)^{2} = 0.25

The theoretical probability that a coin toss results in two heads showing is 25%.

2. What is the experimental probability that a coin toss results in two heads showing?

There were 100 flips, and it resulted in two heads 44 times, so:

P = \frac{44}{100} = 0.44

The experimental probability that a coin toss results in two heads showing is 44%.

3. What is the theoretical probability that a coin toss results in two tails showing?

In each toss, the theoretical  probability that a coin toss results in a tail showing is 50%.

So for two tails, the probability is:

P = (0.5)^{2} = 0.25

The theoretical probability that a coin toss results in two tails showing is 25%.

4. What is the experimental probability that a coin toss results in two tails showing?

There were 100 flips, and it resulted in two tails 34 times, so:

P = \frac{34}{100} = 0.34

The experimental probability that a coin toss results in two tails showing is 34%.

5. What is the theoretical probability that a coin toss results in one head and one tail showing?

In each toss, the theoretical probability that a coin toss results in a tail showing is 50% and in a head showing is 50%.

They can be permutated, as the tail can appear before the head, or the head before the tail. So:

P = p_{2,1}*(0.5)*(0.5) = \frac{2!}{1!}*0.25 = 0.50

The theoretical probability that a coin toss results in one head and one tail showing is 50%.

6. What is the experimental probability that a coin toss results in one head and one tail showing?

There were 100 flips, and it resulted in a head and a tail showing 22 times, so:

P = \frac{22}{100} = 0.22

The experimental probability that a coin toss results in a head and a tail is 22%.

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1 year ago
The number of "destination weddings" has skyrocketed in recent years. For example, many couples are opting to have their wedding
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Answer:

There is no sufficient evidence to support the claim that wedding cost is less than $30000.

Step-by-step explanation:

Values (x) ∑(Xi-X)^2

----------------------------------

29.1                    0.1702

28.5                  1.0252

28.8                  0.5077

29.4                   0.0127

29.8                  0.0827

29.8                  0.0827

30.1                   0.3452

30.6                   1.1827

----------------------------------------

236.1                 3.4088

Mean = 236.1 / 8 = 29.51

S_{x}=\sqrt{3.4088/(8-1)}=0.6978

Statement of the null hypothesis:

H0: u ≥ 30 the mean wedding cost is not less than $30,000

H1: u < 30 the mean wedding cost is less than $30,000

Test Statistic:

t=\frac{X-u}{S/\sqrt{n}}=\frac{29.51-30}{0.6978/\sqrt{8}}= \frac{-0.49}{0.2467}=-1.9861

Test criteria:

SIgnificance level = 0.05

Degrees of freedom = df = n - 1 = 8 - 1 = 7

Reject null hypothesis (H0) if

t

Finding in the t distribution table α=0.05 with df=7, we have

t_{0.05,7}=2.365

t>-t_{0.05,7} = -1.9861 > -2.365

Result: Fail to reject null hypothesis

Conclusion: Do no reject the null hypothesis

u ≥ 30 the mean wedding cost is not less than $30,000

There is no sufficient evidence to support the claim that wedding cost is less than $30000.

Hope this helps!

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