Project Description:
You work as a data analyst for Camino Marketing, a U.S.-based web marketing company. You have been asked to conduct an employee satisfaction survey. As part of the survey, you will collect sample data to help provide insight into employee salaries, productivity within the three national offices, and to predict the growth of the New York office’s client base by 2025.
2
Ensure the Employee Satisfaction worksheet is active, then use the FREQUENCY function to calculate the frequency distribution of job satisfaction in column D. Place your results in the range G5:G9.
3
Enter a function in cell G12 to calculate the standard deviation of column c.
4
Enter a function in cell G13 to calculate the variance between salaries.
5
Enter a function in cell G14 to calculate the Covariance of the salaries and job satisfaction in the data set. Note this is a sample of data not a population.
6
Enter a function in cell F17 to calculate the correlation coefficient between employee salary and job satisfaction.
7
Ensure the Data Analysis ToolPak add-in is active. Use the Data Analysis ToolPak to create a histogram based on the salaries in column C. Use the range I4:I9 as the Bin Range. Ensure that Cumulative percentage, column labels, and chart output are included in the results. Place the results in cell K4. Edit the result text in cell K4 to display Salary, if necessary.
8
Ensure the Office_Data worksheet is active. Use the Data Analysis ToolPak to perform a single factor ANOVA on the range C3:E35. Place the results starting in cell G3. Be sure to include column labels. Resize columns G:M as needed.
9
Create a Forecast Sheet that depicts year over year growth in customer growth. Set the Forecast end year as 2025 and place the results on a new worksheet named 2025Forecast.
10
Ensure the Customers worksheet is active then create a scatter plot chart that places the Years on the X axis and the Clients on the Y axis. Add a linear trendline to the chart that also shows the Equation and the R-square. Add the title Customer Growth.
11
Enter a function in cell E4 to calculate the intercept of the linear trendline created in the prior step.
12
Enter a function in cell F4 to calculate the Slope of the linear trendline.
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Enter a function in cell G4 to calculate the R-square of the linear trendline.
14
Enter a function in cell H4 to calculate the Standard Error.
15
Use the FORECAST.LINEAR function in cell E7 to the total number of customers by the end of 2021.
16
Complete your analysis by added formulas in the range F7:G7 to calculate the high and low thresholds of the forecast.