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LekaFEV [45]
3 years ago
10

A grocery stores studies how long it takes customers to get through the speed check lane. They assume that if it takes more than

10 minutes, the customer will be upset. Find the probability that a randomly selected customer takes more than 10 minutes if the average is 8.56 minutes with a standard deviation of 1.04 minutes.
Mathematics
1 answer:
Reptile [31]3 years ago
3 0

The probability that a randomly selected customer takes more than 10 minutes will be 8.38%

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

The average or mean(\mu) is 8.56 minutes and standard deviation(\sigma) is 1.04 minutes.

<u>Formula for finding the z-score</u> is:   z= \frac{X-\mu}{\sigma}

So, the z-score for X= 10 minutes will be.....

z(X=10)=\frac{10-8.56}{1.04}=\frac{1.44}{1.04}=1.3846... \approx 1.38

Now, according to the standard normal distribution table,  P(z . So.....

P(X>10)=P(z>1.38)= 1-P(z

So, the probability that a randomly selected customer takes more than 10 minutes will be 8.38%

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A manager wishes to determine the relationship between the number of miles traveled​ (in hundreds of​ miles) by her sales repres
kati45 [8]

Answer:

y=3.53 x +37.92  

And for 0 miles if we use the model we got:

y(0)= 3.53*0 +37.92 = 37.92

But for this case. No is not reasonable for a representative to travel o miles and have a positive amount of sales.

Step-by-step explanation:

For this case we assume the following data:

Miles traveled (X): 2,3,10,7,8,15,3,1,11

Sales (Y): 31,33,78,62,65,61,48,55,120

We want to found a linear model like this one : y = mx+b. Where:

m=\frac{S_{xy}}{S_{xx}}  

Where:  

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}  

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}  

With these we can find the sums:  

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=582-\frac{60^2}{9}=182  

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}=4329-\frac{60*553}{9}=642.33  

And the slope would be:  

m=\frac{642.33}{182}=3.529  

Nowe we can find the means for x and y like this:  

\bar x= \frac{\sum x_i}{n}=\frac{60}{9}=6.667  

\bar y= \frac{\sum y_i}{n}=\frac{553}{9}=61.444  

And we can find the intercept using this:  

b=\bar y -m \bar x=61.444-(3.529*6.667)=37.917  

So the line would be given by:  

y=3.53 x +37.92  

And for 0 miles if we use the model we got:

y(0)= 3.53*0 +37.92 = 37.92

But for this case. No is not reasonable for a representative to travel o miles and have a positive amount of sales.

8 0
3 years ago
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