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Sergeu [11.5K]
3 years ago
10

Question 5, thanks for the help :)

Mathematics
2 answers:
Kryger [21]3 years ago
6 0
Yes yes yes yes yes yes yes yes
worty [1.4K]3 years ago
5 0

Answer:

-1/3

Step-by-step explanation:

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Following world war 1 the allies
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Made the treaty of versai witch put restrictions on Germany and made the pay for the destruction they caused during the war putting them in a spot were they had no money 
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Which of the following lines is perpendicular to the line Y = 3x -4
andriy [413]

Answer:

D.

Step-by-step explanation:

When a line is perpendicular to another, their slopes will be opposite reciprocal. For example, 1 would be -1, -3 would be \frac{1}{3} , and \frac{5}{1} would be -5. The equation is written in slope-intercept form:

y=mx+b

m is the slope, so find the equation with the opposite reciprocal of 3, -\frac{1}{3}:

y=-\frac{1}{3} x+4 is the only option with the correct slope, so the answer is D.

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3 years ago
Find the value of y when x=7. y=____
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In this case, 7 is being added to the odometer which already reads 78. If you add 7 to 78, you get 85. Meaning y = 85!

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3 years ago
Read 2 more answers
Could someone show me how to start this function in excel.
Mrac [35]
Attached is a screenshot of spreadsheet used to do this problem.

You will see the excel functions used for each column. The average score is highlighted in blue.

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3 years ago
Suppose that the population mean for income is $50,000, while the population standard deviation is 25,000. If we select a random
Fudgin [204]

Answer:

Probability that the sample will have a mean that is greater than $52,000 is 0.0057.

Step-by-step explanation:

We are given that the population mean for income is $50,000, while the population standard deviation is 25,000.

We select a random sample of 1,000 people.

<em>Let </em>\bar X<em> = sample mean</em>

The z-score probability distribution for sample mean is given by;

               Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean = $50,000

            \sigma = population standard deviation = $25,000

            n = sample of people = 1,000

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the sample will have a mean that is greater than $52,000 is given by = P(\bar X > $52,000)

  P(\bar X > $52,000) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{52,000-50,000}{\frac{25,000}{\sqrt{1,000} } } ) = P(Z > 2.53) = 1 - P(Z \leq 2.53)

                                                                    = 1 - 0.9943 = 0.0057

<em>Now, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2.53 in the z table which has an area of 0.9943.</em>

Therefore, probability that the sample will have a mean that is greater than $52,000 is 0.0057.

5 0
3 years ago
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