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padilas [110]
3 years ago
11

In a simple random sample of 20 residents of the city of Dallas, the mean paper products recycled per person per day was 0.95 po

unds with a standard deviation of 0.32 pounds. Determine the 99% confidence interval for the mean paper products recycled per person per day for the population of Dallas, assuming the population is approximately normal
Mathematics
1 answer:
8090 [49]3 years ago
6 0

Answer:

The 99% confidence interval for the mean paper products recycled per person per day for the population of Dallas is

     0.7454 <  \mu <  1.1546

Step-by-step explanation:

From the question we are told that

   The sample size is  n =  20

   The sample mean is  \= x = 0.95 \ pounds

   The standard deviation is  \sigma  =  0.32 \ pounds

Generally given that the sample size is small , n<  30  we will be making use of t distribution table

Generally the degree of freedom is mathematically represented as

             df = 20 - 1

=>          df = 19

From the question we are told the confidence level is  99% , hence the level of significance is    

      \alpha = (100 - 99 ) \%

=>   \alpha = 0.01

Generally from the t distribution table the critical value  of  \frac{\alpha }{2}  at a degree of freedom of df = 19  is  

   t_{\frac{\alpha }{2}, 19 } =  2.86

Generally the margin of error is mathematically represented as  

      E =t_{\frac{\alpha }{2}, 19 }  *  \frac{\sigma }{\sqrt{n} }

=>   E = 2.86 *  \frac{0.32}{\sqrt{20} }

=>   E = 0.2046      

Generally 99% confidence interval is mathematically represented as  

      \= x -E <  \mu <  \=x  +E

=>  0.95  -0.2046 <  \mu <  0.95  + 0.2046

=>  0.7454 <  \mu <  1.1546

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Answer:

0.0003625

:) Hope that helps :)

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Order these number (smallest to largest)<br><br><br> 35.6 0.356 35.63 3.65 356.06 356.6
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Step-by-step explanation:

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OleMash [197]
The answer should be D
5 0
3 years ago
Below are the jersey numbers of 11 players randomly selected from a football team. Find the range, variance, and standard deviat
german

Answer:

Range =94

σ² = 1,141.564

Standard Deviation = 33.78703

Step-by-step explanation:

First off to find the range, we find the highest value and subtract it to the lowest value. In this situation the values are:

Highest = 99

Lowest = 5

Range = 99 - 5

Range = 94

Now to find the variance of the sample data set, we first need to find for the mean of the data.

The mean of the data with be the sum of all the numbers in the data set divided by the number of samples.

5 + 14 + 26 + 50 + 60 +72 + 79 + 88 + 93 +94 + 99

That would equal 680

Then you divide the number of samples and that is 11 so the next equation is 680 divided by 11

So the then-

Mean = 61.81818

Now to find the variance we simply use the formula:

Now to find the variance we simply use the formula:

σ²=\frac{(xi - Mean)^{2}  }{n-1}

σ²=\frac{(5 - 61.818)^{2} + (14 - 61.818)^{2} + (26 - 61.818)^2 +  (99 - 61.818)^2} {11-1}

σ²=\frac{11,415.64}{10}

σ²=1,141.564

Now to find the standard deviation, we take the variance and get the square root of it.

Standard Deviation= \sqrt{1,141.564}

Standard Deviation= 33.78703

HOPE THIS HELPS :)

6 0
2 years ago
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