Sales Data th Units Sold Point Estimates Formulas Used 1 97 120 Mean (1 decimal) #N/A 83 97 Standard Deviation (2 decimal) #N/A 93 -234 5
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![# Sales Data Analysis Activity
## Featured Activity
### [Watch Video]
*A sample of 5 months of sales data can be found in Excel below:*
**Open spreadsheet**
### Instructions:
a. Develop a point estimate of the population mean number of units sold per month (to 1 decimal).
- Your response: `99` (This value is indicated as incorrect with a red X.)
b. Develop a point estimate of the population standard deviation (to 2 decimals).
- Your response: `12.23` (This value is indicated as incorrect with a red X.)
### Actions:
- **Check My Work**: Review your responses to see if they are correct.
- **Reset Problem**: Clear your responses to try again.
No graphs or diagrams are presented in this activity. The primary focus is on two statistical calculations: the mean and standard deviation of units sold based on the provided sample data in the Excel spreadsheet.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd1de9ad1-6639-4a18-ad19-dbd78b7d149c%2F1ee55cc1-b814-44b3-b192-cf3eec95288b%2Fwqwk7f5_processed.jpeg&w=3840&q=75)

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