This homework assigned analyzes a dataset representing the downloads of a new mobile app from the app store on its launch day.
The data is measured in thousands.
The primary goal is to find the sample variance and the standard deviation for the provided sample of download counts.
Dataset
The dataset includes the following download figures (in thousands):
15
36
20
16
13
14
Concepts Defined
Sample Variance
Definition: The sample variance ( ext{s}^2) measures the dispersion of a sample. It is calculated as the average of the squared deviations from the sample mean.
Formula:
ext{s}^2 = rac{1}{n-1} imes ext{Sum of squared deviations from the mean}
where (n) is the number of observations in the sample.
Standard Deviation
Definition: The standard deviation (s) is the positive square root of the variance, providing a measure of the average distance of the data points from the mean.
Formula: s=extsqrt(s2)
Calculation Steps
Tools Needed
Calculator: The TI-84 Plus calculator will be utilized for computations based on the dataset.
Step 1: Determine the Sample Mean ((\bar{x}))
Calculate the Mean: xˉ=nSum of all observations xˉ=615+36+20+16+13+14=6114=19
Step 2: Calculate Each Deviation from the Mean
Deviations:
15 - 19 = -4
36 - 19 = 17
20 - 19 = 1
16 - 19 = -3
13 - 19 = -6
14 - 19 = -5
Step 3: Square Each Deviation
Squared Deviations:
(-4)^2 = 16
(17)^2 = 289
(1)^2 = 1
(-3)^2 = 9
(-6)^2 = 36
(-5)^2 = 25
Step 4: Calculate the Sum of Squared Deviations
Sum: 16+289+1+9+36+25=376
Step 5: Calculate Sample Variance ((\text{s}^2))
Using Formula: s2=n−1376=5376=75.20
Step 6: Calculate Standard Deviation (s)
Standard Deviation Calculation: s=75.20=8.67
Conclusion
The sample variance for the download times is 75.20.
The sample standard deviation for the download times is 8.67.
Final Notes
Ensure all values are rounded to two decimal places where applicable.
This illustrates how variability can be quantified in data samples, useful for determining the spread of app downloads.