The 40S Applied Math Class Blog for Oct.9th AND Oct 13th.
PDF: Probability Distribution Frequency
Standard Deviation: a numerical measurement of a set of datas variability.
High standard deviation means that the set of data is spread out, where a low standard deviation means that the data is close together.
On Friday, we ewre given a worksheet that helped us explain the difference between a sigma and a sample. If you are finding the SD of a population then you would use sigma, as opposed to using a sample when estimating the "sample" of a population. We were also given 2 other worksheets, 1 which we were to hand in. The worksheet that was to be handed in was called Understanding Standard Deviation, and the other was an introduction to mean, median, & Standard Deviation.
Today, we were reminded about finishing our "Understanding Standard Deviation" worksheet, which was a excellent way to be introduced to histograms.We then got to pull out our graphing calculations for some more work involving histograms and Standard Deviation. After that, we were introduced into a VERY IMPORTANT formula. it is called the NPQ formula and it is displayed as follows: -Mean = np and SD= the square root of (np x (1-q)
p = the probability of success, q = the probability of failure, and n = the # of trials.
To end this FABULOUS day, we were given an assignment that is on Pg. 108 # 1-6, 8-9 in our 40S Applied Math Textbook. Following this were 2 more sheets, Extra NPQ questions to help us understand the concept better, and a HAND-IN sheet about everything we have learned so far in this unit.
* If you have any questions, check out the blog, listen to the podcasts on edline, or ask ask ask!!*
great summary!!!!. However when you said " difference between a sigma and a sample." it should be difference between a population and a sample. Population is the entire set of data and uses Greek letters (mu and sigma) while samples use English letters (x bar and s for std. dev).
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