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Vadim26 [7]
3 years ago
12

What is the mean of the numbers 5,5,7,5,9,11,18?

Mathematics
2 answers:
AlekseyPX3 years ago
5 0
It would be 6/7. Because first you would add 5+5+7+5+9+11+18 which equals 60. After that, you would divide 60 to 7. You should get 6/7. I hope this helped you!
marysya [2.9K]3 years ago
3 0
When someone says to find the mean of a group of numbers, it usually means to take the average of the set of numbers.

Add up all the numbers together.

5 + 5 + 7 + 5 + 9 +11 + 18 = 60

Then divide by the number of elements in the set of numbers.

In this case, it is 7.

60 / 7 = 8 4/7

So, the average for that set of numbers is 8 4/7.


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Find the area of the triangle with the given measurements. Round the solution to the nearest hundredth if necessary. B = 105°, a
Akimi4 [234]

Answer:

The area of triangle is 110.10cm^{2}

Step-by-step explanation:

It is given that AB=19cm, BC=12cm and ∠B=105°

Now, Area of the triangle ABC=\frac{1}{2}acsinB

=\frac{1}{2}{\times}12{\times}19{\times}sin105^{\circ}

=6{\times}19{\times}(0.965)

=110.10cm^{2}

Thus, the area of triangle is 110.10cm^{2}

4 0
4 years ago
3. A family is tracking its spending habits. Over the past year, the grocery bill has ranged from $110 to $170. Suppose you were
xxTIMURxx [149]

The best way to plot them is by month.

170 - 110 = $60.

We are supposed to plot in months and the above calculation is in year, convert it into months

60/5 = $5 each month

So, the coordinates would be 0, 110 1, 115 2, 120 3, 125

The month will be in the x axis and your money will be the Y axis 

7 0
3 years ago
The incomes in a certain large population of college teachers have a normal distribution with mean $75,000 and standard deviatio
Elenna [48]

Answer:

0.1056 = 10.56% probability that their average salary is more than $77,500.

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}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Mean $75,000 and standard deviation $8,000.

This means that \mu = 75000, \sigma = 8000

Sample of 16

This means that n = 16, s = \frac{8000}{\sqrt{16}} = 2000

What is the probability that their average salary is more than $77,500?

This is 1 subtracted by the pvalue of Z when X = 77500. So

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

By the Central Limit Theorem

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

Z = \frac{77500 - 75000}{2000}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

1 - 0.8944 = 0.1056

0.1056 = 10.56% probability that their average salary is more than $77,500.

8 0
3 years ago
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