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S_A_V [24]
1 year ago
12

What is the sum of StartRoot negative 2 EndRoot and StartRoot negative 18 EndRoot?

Mathematics
1 answer:
Darya [45]1 year ago
3 0

Answer:

4 \sqrt{2} i

Step-by-step explanation:

We want to find the sum of

\sqrt{ - 2}  +  \sqrt{ - 18}

We can rewrite this as

\sqrt{ 2 \times  - 1}  +  \sqrt{ 18 \times  - 1}

This becomes;

\sqrt{2}  \times  \sqrt{ - 1}  +  \sqrt{18}  \times  \sqrt{ - 1}

Recall that;

i =  \sqrt{ - 1}

This implies that;

\sqrt{2} i + 3 \sqrt{2} i

Combine like terms:

4 \sqrt{2} i

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Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well
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The question is incomplete! Complete question along with answer and step by step explanation is provided below.

Question:

Miguel is a golfer, and he plays on the same course each week. The following table shows the probability distribution for his score on one particular hole, known as the Water Hole.  

Score 3 4 5 6 7

Probability 0.15 0.40 0.25 0.15 0.05

Let the random variable X represent Miguel’s score on the Water Hole. In golf, lower scores are better.

(a) Suppose one of Miguel’s scores from the Water Hole is selected at random. What is the probability that Miguel’s score on the Water Hole is at most 5 ? Show your work.

(b) Calculate and interpret the expected value of X . Show your work.

A potential issue with the long hit is that the ball might land in the water, which is not a good outcome. Miguel thinks that if the long hit is successful, his expected value improves to 4.2. However, if the long hit fails and the ball lands in the water, his expected value would be worse and increases to 5.4.

c) Suppose the probability of a successful long hit is 0.4. Which approach, the short hit or long hit, is better in terms of improving the expected value of the score?

(d) Let p represent the probability of a successful long hit. What values of p will make the long hit better than the short hit in terms of improving the expected value of the score? Explain your reasoning.

Answer:

a) 80%

b) 4.55

c) 4.92

d) P > 0.7083

Step-by-step explanation:

Score  |   Probability

3          |      0.15

4          |      0.40

5          |      0.25

6          |      0.15

7          |      0.05

Let the random variable X represents Miguel’s score on the Water Hole.

a) What is the probability that Miguel’s score on the Water Hole is at most 5 ?

At most 5 means scores which are equal or less than 5

P(at most 5) = P(X ≤ 5) = P(X = 3) + P(X = 4) + P(X = 5)

P(X ≤ 5) = 0.15 + 0.40 + 0.25

P(X ≤ 5) = 0.80

P(X ≤ 5) = 80%

Therefore, there is 80% chance that Miguel’s score on the Water Hole is at most 5.

(b) Calculate and interpret the expected value of X.

The expected value of random variable X is given by

E(X) = X₃P₃ + X₄P₄ + X₅P₅ + X₆P₆ + X₇P₇

E(X) = 3*0.15 + 4*0.40 + 5*0.25 + 6*0.15 + 7*0.05

E(X) = 0.45 + 1.6 + 1.25 + 0.9 + 0.35

E(X) = 4.55

Therefore, the expected value of 4.55 represents the average score of Miguel.

c) Suppose the probability of a successful long hit is 0.4. Which approach, the short hit or long hit, is better in terms of improving the expected value of the score?

The probability of a successful long hit is given by

P(Successful) = 0.40

The probability of a unsuccessful long hit is given by

P(Unsuccessful) = 1 - P(Successful)

P(Unsuccessful) = 1 - 0.40

P(Unsuccessful) = 0.60

The expected value of successful long hit is given by

E(Successful) = 4.2

The expected value of Unsuccessful long hit is given by

E(Unsuccessful) = 5.4

So, the expected value of long hit is,

E(long hit) = P(Successful)*E(Successful) + P(Unsuccessful)*E(Unsuccessful)

E(long hit) = 0.40*4.2 + 0.60*5.4

E(long hit) = 1.68 + 3.24

E(long hit) = 4.92

Since the expected value of long hit is 4.92 which is greater than the value of short hit obtained in part b that is 4.55, therefore, it is better to go for short hit rather than for long hit. (Note: lower expected score is better)

d) Let p represent the probability of a successful long hit. What values of p will make the long hit better than the short hit in terms of improving the expected value of the score?

The expected value of long hit is given by

E(long hit) = P(Successful)*E(Successful) + P(Unsuccessful)*E(Unsuccessful)

E(long hit) = P*4.2 + (1 - P)*5.4

We want to find the probability P that will make the long hit better than short hit

P*4.2 + (1 - P)*5.4 < 4.55

4.2P + 5.4 - 5.4P < 4.55

-1.2P + 5.4 < 4.55

-1.2P < -0.85

multiply both sides by -1

1.2P > 0.85

P > 0.85/1.2

P > 0.7083

Therefore, the probability of long hit must be greater than 0.7083 that will make the long hit better than the short hit in terms of improving the expected value of the score.

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Setler79 [48]

Answer:

a) 90.695 lb

b) 85.305 lb

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 88, \sigma = 7

(a) The 65th percentile

X when Z has a pvalue of 0.65. So X when Z = 0.385.

Z = \frac{X - \mu}{\sigma}

0.385 = \frac{X - 88}{7}

X - 88 = 7*0.385

X = 90.695

(b) The 35th percentile

X when Z has a pvalue of 0.35. So X when Z = -0.385.

Z = \frac{X - \mu}{\sigma}

-0.385 = \frac{X - 88}{7}

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Answer:

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Step-by-step explanation:

From the graph we can see that there is a whole in the graph at x=-2.

This is referred to as a point discontinuity.

Similarly, there is point discontinuity at x=8.

We can see that both one sided limits at these points are equal but the function is not defined at these points.

At x=0, there is a jump discontinuity. Both one-sided limits exist but are not equal.

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