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Andru [333]
4 years ago
14

Company Price per Share Earnings per Share

Mathematics
1 answer:
Dafna1 [17]4 years ago
4 0
Company Price per Share Earnings per Share
Leptano Bearings & Joints $16.39 $2.19
Hatan Bearings $54.55 $8.94
Tours Marbles and Bearings Inc. $11.22 $1.02
Grenada Precision Bearings $12.25 $1.25
Given the current price and earnings per share, evaluate which of the companies below would have earned the most money for someone investing $10,000 in each.
A.
Leptano Bearings & Joints
B.
Hatan Bearings
C.
Tours Marbles and Bearings Inc.
D.
Grenada Precision Bearings
Answer is c
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Step-by-step explanation:

There are about 110,000 days in 300 years, so the expected number of failures is about 10/11 ≈ 1.

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Almost all medical schools require applicants to take the Medical College Admission Test (MCAT). To estimate the mean score of t
jenyasd209 [6]

Answer:

97.92% probability that the mean score of your sample is between 22 and 28

Step-by-step explanation:

To solve this question, we have to understand the normal probability distribution and the central limit theorem.

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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 25, \sigma = 6.5, n = 25, s = \frac{6.5}{\sqrt{25}} = 1.3

What is the probability that the mean score of your sample is between 22 and 28

This is the pvalue of Z when X = 28 subtracted by the pvalue of Z when X = 22. So

X = 28

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

By the Central Limit theorem

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

Z = \frac{28 - 25}{1.3}

Z = 2.31

Z = 2.31 has a pvalue of 0.9896

X = 22

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

Z = \frac{22 - 25}{1.3}

Z = -2.31

Z = -2.31 has a pvalue of 0.0104

0.9896 - 0.0104 = 0.9792

97.92% probability that the mean score of your sample is between 22 and 28

8 0
3 years ago
How many degrees in the angle
kotegsom [21]

Answer:

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Step-by-step explanation:

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K<9
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3 years ago
Brainliest question please help me please
erik [133]

Answer:

Step-by-step explanation:

ES=√((6+1)²+3²)=√(49+9)=√58

ST=(6-1)=5

TR=5+1=6

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PI=6+1=7

PE=3+2=5

Perimeter=√58+5+6+√29+7+5=23+√58+√29≈37.68 units

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