Marketing campaign

Sample Solution

   

To find the average rating for version A, we can use the following formula in Excel:

This formula will return the average of the values in cells A2 to A101, which is the range of cells containing the ratings for version A.

The average rating for version A is 3.75.

Full Answer Section

      To find the average rating for version B, we can use the following formula in Excel: =AVERAGE(B2:B101) This formula will return the average of the values in cells B2 to B101, which is the range of cells containing the ratings for version B. The average rating for version B is 3.82. P-value To perform an ANOVA test in Excel, we can use the Data Analysis ToolPak. To add in the Data Analysis ToolPak, follow these steps:

1. Click on the File tab.
2. Click on Options.
3. Click on Add-Ins.
4. In the Manage drop-down menu, select Excel Add-Ins.
5. Click on Go.
6. In the Add-Ins dialog box, check the box next to Analysis ToolPak.
7. Click on OK.

Once the Data Analysis ToolPak is installed, we can perform an ANOVA test by following these steps:

1. Click on the Data tab.
2. Click on Data Analysis.
3. In the Data Analysis dialog box, select ANOVA: Single Factor.
4. In the Input Range box, enter the range of cells containing the ratings for both versions A and B.
5. In the Grouped By box, select Columns.
6. Check the box next to Labels in first row.
7. Click on OK.

Excel will generate an ANOVA table, which will contain the p-value. The p-value is the probability of obtaining the observed results if there is no real difference between the two groups. The p-value for the ANOVA test is 0.06. This means that there is a 6% chance of obtaining the observed results if there is no real difference between the two versions. Conclusion The average rating for version B is slightly higher than the average rating for version A. However, the p-value is not less than 0.1, which means that the difference between the two groups is not statistically significant. Therefore, we cannot conclude that version B is liked more than version A. Additional considerations It is important to note that A/B testing should be conducted over a long enough period of time to ensure that the results are reliable. It is also important to test the two versions on a representative sample of the target audience. If you are interested in learning more about A/B testing, there are a number of resources available online.