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Deffense [45]
3 years ago
8

50 people sponsor Paula and she raises a total of 180 for charity. What is the mean average amount sponsored in pounds

Mathematics
1 answer:
crimeas [40]3 years ago
3 0

The mean is the average of the numbers.

It is easy to calculate: add up all the numbers, then divide by how many numbers there are.

For example: What is the Mean of these numbers?

6, 11, 7

<span><span>Add the numbers: 6 + 11 + 7 = 24 
</span><span>Divide by how many numbers (there are 3 numbers): 24 / 3 = 8</span></span><span>The Mean is 8

Hope this helps :)</span>
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Identify the property used in the following<br>a+b=b+a<br>(ab)c =a(bc)​
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Step-by-step explanation:

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The sales of a grocery store had an average of $8,000 per day. The store introduced several advertising campaigns in order to in
oksano4ka [1.4K]

Answer:

Null hypothesis:\mu \leq 8000  

Alternative hypothesis:\mu > 8000  

z=\frac{8300-8000}{\frac{1200}{\sqrt{64}}}=2  

p_v =P(Z>2)=0.0228  

Step-by-step explanation:

1) Data given and notation  

\bar X=8300 represent the sample mean  

\sigma=1200 represent the population standard deviation  

n=64 sample size  

\mu_o =800 represent the value that we want to test  

\alpha represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

2) State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is higher than 8000, the system of hypothesis are :  

Null hypothesis:\mu \leq 8000  

Alternative hypothesis:\mu > 8000  

Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

3) Calculate the statistic  

We can replace in formula (1) the info given like this:  

z=\frac{8300-8000}{\frac{1200}{\sqrt{64}}}=2  

4) P-value  

Since is a one-side upper test the p value would given by:  

p_v =P(Z>2)=0.0228  

5) Conclusion  

If we compare the p value and the significance level assumed, for example \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the mean is significantly higher than $8000.  

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Answer:

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Step-by-step explanation:

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Thus, from the properties of normal distribution, the correct answer is:

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