Graphical Descriptions: For your data, provide at least two graphs, one for each sample data (5 points) and The graphs

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Graphical Descriptions:

For your data, provide at least two graphs, one for each sample
data (5 points) and
The graphs could be pie chart, histogram, bar chart etc but
labelled and clear.


Numerical Descriptions:

For the samples from each population, if applicable provide the
mean, median, mode, sample standard deviation, inter-quartile
range, and five-number summary. (15
points)


One paragraph that summarizes the results of any statistical
testing you have done. You should conduct
two statistical studies, one of [estimation study
(using 95% confidence interval) and one hypothesis testing (5%
level of significance) or correlation and linear or multiple
regression]. Your two studies should confirm your analysis.

Confidence Interval (35 points):

Find the margin of error for a 95% confidence interval.
Interpret the margin of error.
Give the 95% confidence interval.
Write at least one sentence interpreting your confidence
interval in context.
Based on your confidence interval, answer your research
question.


Testing a hypothesis (35 points):

Determine the hypothesis:

Null Hypothesis
Alternative Hypothesis


Use the data you have collected to assess the evidence:

Calculate your test statistics (t-score, z-score, F-score,
etc)
Explain whether you think your test statistics is usual or
unusual.
Using the technology or table, calculate the p-value.


State a conclusion:

Comparing p-value to the significance level, explain whether
you reject or fail to reject the null hypothesis.
Interpret your results.




Correlation and Regression – This is
another option and gradings will be done
accordingly (35 points)




Provide the correlation coefficient.
Select the dependent and independent variable(s)
Create a regression model.
Provide the output and scatter plot (if available)
Test the regression for validity.
Interpret your results.