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Anika [276]
2 years ago
12

55% of college freshmen are women. If you pick 4 freshmen at random. What's the probability they are all males?

Mathematics
1 answer:
weqwewe [10]2 years ago
7 0

probability they are all males is 0.041

<u>Step-by-step explanation:</u>

Here we have , 55% of college freshmen are women. If you pick 4 freshmen at random . We need to find What's the probability they are all males . Let's find out:

Probability to have women is 55 % i.e. 0.55 so for men is :

⇒ 1-0.55

⇒ 0.45

Now , 4 persons are randomly chosen and we need to find probability to have all 4 males that will be :

⇒ 0.45(0.45)(0.45)(0.45)

⇒ 0.45^4

⇒ 0.041

Therefore ,  probability they are all males is 0.041

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Answer:

(6-√21,  6+√21)

Step-by-step explanation:

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2 years ago
A high school student took two college entrance exams, scoring 1070 on the SAT and 25 on the ACT. Suppose that SAT scores have a
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Answer:

Due to the higher z-score, he did better on the SAT.

Step-by-step explanation:

When the distribution is normal, we use 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.

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He did better on whichever test he had the higher z-score.

SAT:

Scored 1070, so X = 1070

SAT scores have a mean of 950 and a standard deviation of 155. This means that \mu = 950, \sigma = 155.

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

Z = \frac{1070 - 950}{155}

Z = 0.77

ACT:

Scored 25, so X = 25

ACT scores have a mean of 22 and a standard deviation of 4. This means that \mu = 22, \sigma = 4

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3 years ago
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Answer:

The 99% confidence interval is  71.67 < \mu < 78.33

Step-by-step explanation:

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     The sample  size  is  n  =  15

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              \alpha  =  100 -  99

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Generally the margin for error is mathematically represented as

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             \= x  -E  <  \mu  <  \= x  +E

=>          75 -  3.3307 <  \mu

=>          71.67 < \mu < 78.33

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