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sp2606 [1]
2 years ago
5

PLZ HELP ILL GIVE BRAINLY!!!!!!!!!!!!

Mathematics
2 answers:
Harlamova29_29 [7]2 years ago
5 0
The correct answer is C
mars1129 [50]2 years ago
3 0

Answer:

Step-by-step explanation:

(3-\sqrt{2)(3+\sqrt{2)

=(3)^2-(\sqrt{2 )^2

=9-2

=7

You might be interested in
Suppose that a department contains 7 men and 15 women. How many ways are there to form a committee with six members if it must h
Anna [14]

Answer:

7502040

Step-by-step explanation:

you can have 6 women,5 women and 1 men,4 women and 2 men,

in first case,you can place women in 15*14*13*12*11*10 ways

in second case

15*14*13*12*11*7

and in third case

15*14*13*12*7*6

and you need to sum all this numbers

3 0
2 years ago
The fracture strength of tempered glass averages 14 (measured in thousands of pounds per square inch) and has standard deviation
Wewaii [24]

Answer:

0.1587 = 15.87% probability that the average fracture strength of 100 randomly selected pieces of this glass exceeds 14.2.

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 establishes 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.

The fracture strength of tempered glass averages 14 (measured in thousands of pounds per square inch) and has standard deviation 2.

This means that \mu = 14, \sigma = 2

Sample of 100:

This means that n = 100, s = \frac{2}{\sqrt{100}} = 0.2

What is the probability that the average fracture strength of 100 randomly selected pieces of this glass exceeds 14.2?

This is 1 subtracted by the p-value of Z when X = 14.2. So

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

By the Central Limit Theorem

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

Z = \frac{14.2 - 14}{0.2}

Z = 1

Z = 1 has a p-value of 0.8413.

1 - 0.8413 = 0.1587

0.1587 = 15.87% probability that the average fracture strength of 100 randomly selected pieces of this glass exceeds 14.2.

6 0
2 years ago
Please help <br>please find the answer quick
sergejj [24]
1. 64+28+21=113 sq. feet

2. 5x5=25 sq. ft.
5 0
2 years ago
What is 0.9(x-20)=830 Rounded to the Hundreths (second) decimal place
enot [183]

Answer:

x= 942.22

Step-by-step explanation:

.9x-18=830

.9x=848

x=942.222222222

which will be x= 942.22

4 0
3 years ago
Answer this question to get marked as brainliest!!!!
Mazyrski [523]

Answer: C

Step-by-step explanation:

A= 1/2(a+b)xh

A=1/2(7+10)x5

A=8.5x5

A=42.5

4 0
3 years ago
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