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Question 18 The probability that you will win a game is p = 0.88. If you play the game 1488 times, what is the most likely nu
Question 17 BO A study was conducted to determine whether there were significant differences between medical students admitte
• Question 5 Find the mean of the following probability distribution? (round your answer to 1 decimal place) PE) 0 0.0824 1 0
0 0
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Answer #1

18

Let the probability that you will win the game be p = 0.88

And

number of times play the game is n = 1488

Most likely number of wins = (n) * (p)

= 1488 * 0.88

= 1309.4

Standard deviation = sqrt(n * p * (1 - p))

                                 = sqrt( 1488 * 0.88 * ( 1 – 0.88) )

                                  = 12.53

Minimum usual value = 1309.4 – 2 (12.53)

                                    = 1283.94

Maximum usual value = 1309.4 + 2 (12.53)

                                     = 1334.46

5

The following table shows the provided outputs of the discrete random variables, along with the corresponding probabilities:

X

p(X)

0

0.0824

1

0.2434

2

0.3775

3

0.1589

4

0.1378

Now, we need to multiply the corresponding X outcomes with the corresponding probabilities, in order to compute the population mean μ:

X

p(X)

Xp(X)

0

0.0824

0⋅0.0824=0

1

0.2434

11⋅0.2434=0.2434

2

0.3775

2⋅0.3775=0.755

3

0.1589

3⋅0.1589=0.4767

4

0.1378

4⋅0.1378=0.5512

Therefore, the population mean is calculated as follows:

\begin{array}{ccl} \mu = \sum_{i=1}^{n} X_i p(X_i) \\ \\ = \displaystyle 0\cdot 0.0824+1\cdot 0.2434+2\cdot 0.3775+3\cdot 0.1589+4\cdot 0.1378 \\ \\ = \displaystyle 2.0263 \end{array}

6

given =

Probability [ plant grow healthy] = 0.9

Proabablity [ plant does not grow healthy] = 1 - 0.9 = 0.1 = p

⊳ The population proportion of success is p = 0.10,

also, 1 - p = 1 - 0.10 = 0.9,

and the sample size is n= 9.

We need to compute Pr(X=4)

This implies that

\Pr(X = 4) = \left( \begin{matrix} 9 \\ 4 \end{matrix}\right) 0.10^{ 4} \times 0.9^{ 9-4}

=0.0074

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