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stealth61 [152]
3 years ago
6

Eric and Sue will randomly select from a treat bag containing 3 lollipops and 2 gum balls. Eric will select, replace it, and the

n select a second treat. Sue will select a treat, not replace it, and then select a second treat. Who has the greater probability? What is Sue’s probability? What is Eric’s probability
Mathematics
1 answer:
Vilka [71]3 years ago
8 0

Answer:

Sue has the greater probability of 2/5 and Eric has the probability of 1/5.

Step-by-step explanation:

Sue took 2 things and eric replaced his forst one, ending up with one treat.

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An airplane has 100 seats for passengers. Assume that the probability that a person holding a ticket appears for the flight is 0
zmey [24]

Answer:

96.33% probability that everyone who appears for the flight will get a seat

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 105, p = 0.9

So

\mu = E(X) = np = 105*0.9 = 94.5

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{105*0.9*0.1} = 3.07

What is the probability that everyone who appears for the flight will get a seat

100 or less people appearing to the flight, which is the pvalue of Z when X = 100. So

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

Z = \frac{100 - 94.5}{3.07}

Z = 1.79

Z = 1.79 has a pvalue of 0.9633

96.33% probability that everyone who appears for the flight will get a seat

7 0
2 years ago
A marathon is a race that is 46,145 yards long round this number to the nearest hundred
bezimeni [28]

Answer:

46,100

Step-by-step explanation:

3 0
2 years ago
Read 2 more answers
Which angles appear to be congruent?<br> A 1 and 2<br> B 1 and 5<br> C 2 and 4<br> D 4 and 5
pentagon [3]

Answer:

B

Step-by-step explanation:

Those are the only ones that look similar. Hope it helps! :)

7 0
2 years ago
Read 2 more answers
Help please i really need help
Norma-Jean [14]

The change in the stock market from the beginning of the day to the end of the day is 29 3/4

<h3>How to determine the change in the stock market from the beginning of the day to the end of the day?</h3>

The given parameters are:

Beginning = 60 3/4

End = 90 1/2

The change in the stock market from the beginning of the day to the end of the day is calculated as;

Change = End  - Beginning

So, we have

Change = 90 1/2 - 60 3/4

Evaluate

Change = 29 3/4

Hence, the change in the stock market from the beginning of the day to the end of the day is 29 3/4

Read more about difference at:

brainly.com/question/17301989

#SPJ1

7 0
2 years ago
Students are playing a game similar to blackjack (with a standard 52 card deck)- trying to get as close to 21 points without goi
son4ous [18]
1/2 wee player a just got 2 so it is out
7 0
3 years ago
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