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SIZIF [17.4K]
2 years ago
15

What’s the work and answer? Someone please tell me

Mathematics
1 answer:
NNADVOKAT [17]2 years ago
3 0

Answer:

75mm

Step-by-step explanation:

average = sum of all number ÷ the amount of number

average = 90mm + 74mm + 112mm+ 30mm + 100mm + 44mm = 450mm ÷ 6

average = 75mm

brainliest is appreciated

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sammy counted peanuts in several packages of roasted peanuts. He found that the bags had 102, 114, 97, 85, 106, 120, 107, and 11
zmey [24]
Probably a for plot, because It shows how close each value is, or if the values are all scattered around. it gives you a more accurate ways of seeing how close the data is. hope this helped
6 0
3 years ago
N +8=4<br> Well I’m stupid so someone help
Vladimir [108]

Answer:

n = - 4

Step-by-step explanation:

n + 8 = 4

n = 4 - 8

n = - 4

8 0
3 years ago
Barron's reported that the average number of weeks an individual is unemployed is 17.5 weeks. Assume that for the population of
Olin [163]

Answer:

P(16.5

And using the normal standard table or excel we find the probability:

P(-1.768< Z< 1.768) = P(Z

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the avergae number of weeks an individual is unemployed of a population, and for this case we know the distribution for X is given by:

X \sim N(17.5,4)  

Where \mu=17.5 and \sigma=4

Since the distribution for X is normal then, the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu= 17.5, \frac{\sigma}{\sqrt{n}}= \frac{4}{\sqrt{50}}=0.566)

We select a sample of n =50 people. And we want to find the following probability

P(16.5

And using the normal standard table or excel we find the probability:

P(-1.768< Z< 1.768) = P(Z

4 0
3 years ago
Living with parents: The Pew Research Center reported that 36% of American Millennials (adults ages 18-31) stll live at home wit
Lera25 [3.4K]

Answer:

A.

\mathbf{The \  sample \  comes  \ from \  a \  population \ of \ Millennial \ students } \mathbf{at \  their \ campus\ where \ 3 6\%\ still\ live\ at\ home\ with\ their \  parents}

Step-by-step explanation:

From the given information.

The proportion of American Millennials still with their parents = 0.36

The sample size  = 300

Sample proportion = 0.43

Level of significance = 0.006

P-value = 0.006

Null hypothesis:

\mathbf{H_o: Of  \ Millennial \ students  \ at \ their \ campus, \ 36\% \  }\mathbf{ live \ at \  some  \ with  \ their \  parents . }

\mathbf{H_a: More \ than \ 36\%  \ of  \ Millennial \ students  \ at \ their \ campus \ live \ at \ home }\mathbf{ \ with \ their \ parents}

The required task is to determine the assumption about the sample that underlies the hypothesis test from the given options.

A.

\mathbf{The \  sample \  comes  \ from \  a \  population \ of \ Millennial \ students } \mathbf{at \  their \ campus\ where \ 3 6\%\ still\ live\ at\ home\ with\ their \  parents}

This is because the student wants to check if the null hypothesis ( which states that of Millennial students at their campus, 36% live at home with their parents) is correct or not.

7 0
3 years ago
Paul's mp3 player has a total of 852 songs. He has 4 different groups of songs. If he puts an equal number of songs in each grou
Igoryamba

Answer:  

There will be 213 songs in each group.

Step-by-step explanation:

Suppose, the number of songs in each group is  x

As he has 4 different groups of songs, so the t<u>otal number of songs in all 4 groups</u> will be:  (4*x)= 4x

Given that, the mp3 player has a <u>total of 852 songs</u>. So, the equation will be........

4x=852\\ \\ x=\frac{852}{4}=213

So, there will be 213 songs in each group.

5 0
3 years ago
Read 2 more answers
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