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Calculating a 95%95 \% confidence interval (95%Cl)(95 \% \mathrm{Cl}) provides a good estimate of how close the sample mean is to the true mean. The mean ±\pm the 95%95 \% Cl\mathrm{Cl} gives the 95%95 \% confidence limits. On average, 95 times out of 100 , the true population mean will lie within the confidence limits. The 95%Cl95 \% \mathrm{Cl} can be plotted onto graphs to determine significance. If they overlap there is no significant difference between the data. The 95%Cl95 \% \mathrm{Cl} for student A\mathrm{A} is 1.271.27 and for student B\mathrm{B} is 2.372.37 at p=0.05\mathrm{p}=0.05.

(a) Plot the mean dispensing volume and 95%Cl95 \% \mathrm{Cl} for both sets of data on the grid right). Plot as a column graph with error bars.

(b) Is the difference significant? Why or why not?

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Answered 1 year ago
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Consider the information provided in the exercise and that the 95% CI for student A is 1.27 and for student B is 2.37 and the p-value is 0.05. Then:

(a) plot the mean dispensing volume and 95% CI for both students.

(b) explain if the difference is significant and why

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