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2 years ago

Question 1(Multiple Choice Worth 5 points)

Mathematics

1 answer:

Hoochie [10]2 years ago

4 0

Answer:

Q1) D Q2) The final statement Q3) first statement Q4) (0,14) and (10,1)

Step-by-step explanation:

Q1) in this D has the most points therefore highest correlation

Q2) there is no correlation because the points cannot form a linear line

Q3) it does not touch all points but is extreamly close ans is therefore considered a correct linear correlation.

Q4) these points have the closest linear correlation

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The probability distribution histogram shows the number of trees in yards in a certain neighborhood.

Vilka [71]

Answer:

45%

Step-by-step explanation:

Here, we want to know the probability of a randomly selected yard having 6 or more than 6 trees

To get this, we simply add up the probability of 6 yards and above

That is the probability of 6, 8 , 10 and 12 yards

This is obtainable from the histogram

We then proceed to add up from the graph

What we have is;

0.05 + 0.25 + 0.10 + 0.05

= 0.10 + 0.10 + 0.25 = 0.45

This is same as 45/100 which is otherwise 45%

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2 years ago

What is the area of the shaded region? Use 3.14 for π and round your answer to the nearest tenth.

Musya8 [376]

3.14(10²) - 3.14(6²)
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2 years ago

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6b.) Hence, or otherwise, evaluate g(f(3))

statuscvo [17]

Answer:

-25

Step-by-step explanation:

g(f(3))= g(-5)

=4(-5)-5

= -20-5

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3 years ago

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Determine the area and perimeter of a rectangle that is 13 centimeters wide and 25 centimeters long

Greeley [361]

Answer:

A=325

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Hope this helps.

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3 years ago

g Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distrib

algol13

Answer:

The probability that the sample mean would be at least $39000 is of 0.8665 = 86.65%.

Step-by-step explanation:

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

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, 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 normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .