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Data Analysis : Null Hypotheses and Normal Distribution

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A random sample of 8 petrol stations in each of three European countries A, B and C was taken. The price per litre at each station was recorded in Euros. The prices are given below.

A 7.80 8.00 7.98 8.20 8.00 7.99 8.10 7.90

B 8.01 7.75 8.00 7.77 8.01 8.01 8.12 8.20

C 8.10 7.92 8.01 7.88 8.30 8.22 8.56 8.10

Discuss ways of analysing this data from the point of view of having a standard price for petrol in the EU.

Solution Summary

Null hypotheses and a normal ditribution are employes in analysis of given data. A Word file and an Excel file are included with this solution.

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A random sample of 8 petrol stations in each of three European countries A, B and C was taken. The price per litre at each station was recorded in Euros. The prices are given below.

A 7.80 8.00 7.98 8.20 8.00 7.99 8.10 7.90

B 8.01 7.75 8.00 7.77 8.01 8.01 8.12 8.20

C 8.10 7.92 8.01 7.88 8.30 8.22 8.56 8.10 ...

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• BSc , Wuhan Univ. China
• MA, Shandong Univ.
Recent Feedback
• "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
• "excellent work"
• "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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