The overall theme of the lesson was interpreting data. I do remember from high school that mean is the average number you get from a data set when all points are added together and then divided by the number of points. I also remembered that the median is the middle value of an organized data set, and that the mode was the number seen most often in the data set. So how does variance fit into classifying data with these concepts I do understand? The variance shows me how far each number in the set is from the mean.
The steps to finding variance are as follows
1. Find the mean
2. subtract the mean from each data point
3. Square each difference from step 2
4. Find the sum of the squares from step 3
5. divide by the number of data points
This means if i take the teat scores of my friends, 65, 74, 79, 83, 87, and 95, I find the variance by
1. 65+74+79+83+87+95= 80.5 (mean)
2. (65-80.5)+(74-80.5)+(79-80.5)+(83-80.5)+(87-80.5)+(95-80.5)
(-15.5) + (-6.5) + (-.5) + 2.5 + 6.5 + 14.5
3. 240.25 + 42.25 + .25 + 6.25 + 42.25 + 210.25
4. 541.5
5. 541.5/6= 90.25
To find how close the data points are to the mean I should do one more step and find the standard deviation. To do this I find the square root of the variance. In the case of my friend's test scores, the standard deviation is 9.5. I interpret this to mean that the vast majority of my friends scores were within 9.5 percentage points of the mean (80.5).
I was sure I was going to lose my mind trying to figure this concept out, but my hard work eventually paid off. On a positive note, I now feel fairly confident with standard deviations and the new grey hairs I gained figuring this concept out were easily covered with some cheap box color.
Hello,
ReplyDeleteFinding the variance can be confusing because there are many steps and if you don one step wrong then the answer will be wrong. I liked how you wrote down the steps and gave an example that matched up each step. I liked the graph that you put so we can visually see the mean and the standard deviation.