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EastWind [94]
3 years ago
7

I need help pleaseee

Mathematics
1 answer:
slava [35]3 years ago
4 0

9514 1404 393

Answer:

  297 miles

Step-by-step explanation:

The round-trip distance from X to Y is double the one-way distance. The distance from X to Y is 648/2 = 324 miles.

That distance is the sum of distances from X to Z and Z to Y. Then ...

  XZ +ZY = XY

  27 +ZY = 324

  ZY = 297

It is 297 miles from City Z to City Y.

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What is the y-intercept of (5,8) and (12,36)
Oduvanchick [21]

Answer:

The y intercept is (0,-12)

Step-by-step explanation:

You use the slope formula and the slope-intercept form to find the slope m and then the y intercept b.

4 0
3 years ago
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The starting salary for a computer programmer major has a mean of $39,269 and a standard deviation of $2550. The probability tha
Nimfa-mama [501]

Answer:

The probability that a randomly selected programmer major received a salary less than 38000 is 0,3085

Step-by-step explanation:

We will assume that the salaries are Normally distributed. Lets call X the salary of a random major programmer in dollars. We want the pprobability of X being less than 38000. For it, we will standarize X. Lets call W the standarization, given by the formula

W = \frac{X-\mu}{\sigma}=\frac{X-39269}{2550}

Lets denote \phi the cumulative distribution function of the standard normal variable W. The values of \phi are well known and they can be found in the attached file. Now, lets calcualte the probability of X being less than 38000 using \phi

P(X

Since the density function of a standard normal random variable is symmetric, then \phi(-0.50) = 1-\phi(0.50) = 1-0.6915 = 0.3085

The probability that a randomly selected programmer major received a salary less than 38000 is 0,3085.

Download pdf
7 0
3 years ago
Read 2 more answers
A cellphone provider has the business objective of wanting to estimate the proportion of subscribers who would upgrade to a new
stiv31 [10]

Answer:

z=\frac{0.27 -0.2}{\sqrt{\frac{0.2(1-0.2)}{500}}}=3.913  

p_v =P(z>3.913)=0.000046  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of subscribers that would upgrade to a new cellphone at a reduced cost is significantly higher than 0.2 or 20%

Step-by-step explanation:

Data given and notation

n=500 represent the random sample taken

X=135 represent the subscribers that would upgrade to a new cellphone at a reduced cost

\hat p=\frac{135}{500}=0.27 estimated proportion of subscribers that would upgrade to a new cellphone at a reduced cost

p_o=0.2 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that true proportion is higher than 0.2 or not.:  

Null hypothesis:p \leq 0.2  

Alternative hypothesis:p > 0.2  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info required we can replace in formula (1) like this:  

z=\frac{0.27 -0.2}{\sqrt{\frac{0.2(1-0.2)}{500}}}=3.913  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>3.913)=0.000046  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of subscribers that would upgrade to a new cellphone at a reduced cost is significantly higher than 0.2 or 20%

6 0
4 years ago
Give me an explanation please
Nostrana [21]

Answer:

The 3rd and 6th

Step-by-step explanation:

Make a system of equations, try to solve, and then see which statements apply.

let x be the cost of a DVD and y be the cost of a video game

Then you would have:

2x + y = 12

4x + 2y = 24

from turning the words into equations.

Now, solve:

first, multiply the first equation by 2

2x + y = 12 --> 4x + 2y = 24

Then, subtract the two equations:

4x + 2y = 24

- (4x + 2y = 24)

0 = 0

Since you have a number = a number, there are infinite solutions.

Go through the options they give you and see which ones are correct

o The system of linear equations that represents this situation has one solution

Not true, there are infinite

o The system of linear equations that represents the situation has no solution.

Not true

o The system of linear equations that represents the situation has infinitely many solutions.

True

o The DVD rentals cost more than video game rentals

Unknown, it could cost more but it can also cost less so this is not true

o The video rentals cost more than the DVD rentals

Unknown for the same reason

o You cannot determine the cost of video game rentals or DVDs.

True

7 0
3 years ago
The numbers {0, −​1, ​1.9, √3​, ​15} are examples of what set of​ numbers?
atroni [7]
0, -1, 1.9,3,15 are irrational numbers
6 0
4 years ago
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