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vaieri [72.5K]
1 year ago
5

The weekly salaries of a sample of employees at the local bank are given in the table below. Employee Weekly Salary

Mathematics
2 answers:
neonofarm [45]1 year ago
8 0

Answer:

17507.5

Step-by-step explanation:

Given :

Weekly Salary  

Anja          $245  

Raz           $300  

Natalie     $325  

Mic           $465  

Paul         $100

Formula given :

S^2 =\frac{(x_1-\bar x)^2+(x_2-\bar x)^2+....+(x_n-\bar x)^2}{n-1}

Where \bar x  is mean

n = no. of observations

To find: What is the variance for the data?

Solution:

Now to find mean :

Mean = \frac{\text{Sum of all observations}}{\text{Total no. of observations}}

Mean = \frac{245+300+325+465+100}{5}

Mean = \frac{1435}{5}

Mean = 287

So, \bar x = 287

x_1 = 245

x_2 = 300

x_3 = 325

x_4 = 465

x_5 = 100

n = 5

Substitute the values in the formula :

S^2 =\frac{(245-287)^2+(300-287)^2+(325-287)^2+(465-287)^2+(100-287)^2}{5-1}

S^2 =\frac{70030}{4}

S^2 =17507.5

Hence the variance of the data is 17507.5

Pachacha [2.7K]1 year ago
5 0
I just took the test and the correct answer is 17,507.5
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Solve: 3.6 (5x4) divided 3+5.0=
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The value of the expression will be 9.

<em><u>Explanation</u></em>

Given expression is : \frac{3.6(5*4)}{3+5.0}

First we will simplify both numerator and denominator separately using <u>order of operations</u>. So....

3.6(5*4)=3.6(20)=72\\\\ and\\\\ 3+5.0=8

Thus the expression....

\frac{3.6(5*4)}{3+5.0}=\frac{72}{8}=9


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1 year ago
Students collected data about the capacities of their lungs by inflating balloons with a single breath. they measured the circum
marishachu [46]
The given data is the following:

Student Trial 1  Trial 2 Trial 3 Average
-----------  --------  --------  --------  ------------
    1           66.0    66.5   68.5     67.0
    2          67.5     64.0   70.5     67.3
    3          60.3     60.5   60.5    61.0
    4          55.0     58.0   59.0    57.3

Let us check the reported averages.
Student 1:
Average = (66.0 + 66.5 + 68.5)/3 = 67.0   Correct
Student 2:
Average = (67.5 + 64.0 + 70.5)/3 = 67.3    Correct
Student 3:
Average = (60.3 + 60.5 + 60.5)/3 = 604    Incorrect
Student 4:
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Answer: Student 3
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1 year ago
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A snake tank measures 1.8 m x 0.5 m x 0.5 m. What is the surface area of the tank including the top? Use the formula: SA = 2hl+2
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Answer:

4.1

Step-by-step explanation:

1.8 x 0.5 = 0.9

0.5 x 0.5 = 0.25

2(0.9 + 0.9 + 0.25) = 2(1.8 + 0.25) = 2(2.05)

2 x 2.05 = 4.1

Therefore the answer is 4.1

I hope that was helpful!

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1 year ago
It is believed that as many as 23% of adults over 50 never graduated from high school. We wish to see if this percentage is the
JulijaS [17]

Answer:

1)  n=48  

2) n=298

3) n=426

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

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".  

p represent the real population proportion of interest

\hat p represent the estimated proportion for the sample

n is the sample size required (variable of interest)

z represent the critical value for the margin of error

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{\hat p(1-\hat p)}{n}})  

Part 1

In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 90% of confidence, our significance level would be given by \alpha=1-0.90=0.10 and \alpha/2 =0.05. And the critical value would be given by:  

z_{\alpha/2}=-1.64, z_{1-\alpha/2}=1.64  

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}} (a)  

And on this case we have that ME =\pm 0.1 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2} (b)

We can assume that the estimated proportion is 0.23 for the 25 to 30 group. And replacing into equation (b) the values from part a we got:  

n=\frac{0.23(1-0.23)}{(\frac{0.1}{1.64})^2}=47.63  

And rounded up we have that n=48  

Part 2

The margin of error on this case changes to 0.04 so if we use the same formula but changing the value for ME we got:

n=\frac{0.23(1-0.23)}{(\frac{0.04}{1.64})^2}=297.7  

And rounded up we have that n=298  

Part 3

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z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96  

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}} (a)  

And on this case we have that ME =\pm 0.04 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2} (b)

We can assume that the estimated proportion is 0.23 for the 25 to 30 group. And replacing into equation (b) the values from part a we got:  

n=\frac{0.23(1-0.23)}{(\frac{0.04}{1.96})^2}=425.22  

And rounded up we have that n=426  

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