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Statistics Project
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Biostatistics – Calculating Confidence Interval Statistics Project (Statistics Project Sample)


The purpose of this assignment is to practice calculating confidence intervals.
For this assignment, students will utilize Excel and SPSS Statistics and the "Example Dataset."
Using the "Example Dataset," complete the following:
Based on a normal distribution curve, calculate the probability of an individual being 60 years or older in this population. Show the Excel and SPSS formulas or your hand calculations. Include screenshots as needed to illustrate this.
Using the sample standard deviation of age as an estimate of the population standard deviation, calculate by hand the standard error of the mean. Show your calculations and the answer.
Calculate by hand a 95% confidence interval for "Age" based on the sample mean. Use SPSS to verify your answer. Include your calculations and screenshots of the SPSS output.
Interpret the confidence interval for age and explain the three pieces of information needed to calculate a confidence interval.
Submit one Word document that includes all of the assignment deliverables.
APA style is not required, but solid academic writing is expected.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.


Biostatistics – Calculating Confidence Interval
Your Name
Subject and Section
Professor’s Name
November 30, 2019
Assuming a normal distribution, the probability of an individual being 60 years or older in a population is 4.3%. In order to arrive to this answer, the first thing that needs to be done is to find relevant statistical data such as mean and standard deviation. Hence, the author used excel functions such as ‘=average’ and ‘stdev.p’. It must be noted that the estimate assumes that the sample population is representative of the overall population, which is the reason why ‘=stdev.p’ (population) is used instead of ‘=stdev.s’ Nonetheless, either one would have a result of 12. Also, ‘x’ refers to the baseline age, which is 60 years old. The results of the calculations are as follows


Standard Deviation




Table 1. Results for Mean, SD, and X
From this, the author then used the ‘=1-norm.dist’ function, which helps determine the probability of having the number (age) which is greater than or equal to the X. The computation are as follows.
Figure 1. Excel Computation of Age
Subsequently, this

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