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Thursday, February 21, 2013

Qbr501

1. Stem plot. This is a new term that I versed in the reading for Week 1. A paperplot is a guinea pig of graph that displays a quantitative variable star. It helps to visualize the distribution of a data set. A basic stem plot contains ii pillars separated by a vertical line. The left column contains the stems and the right column contains the leaves. The vertical line separation makes it easier to life at the graph and see the distribution. The last digit is considered the leaves and the stay digits to the left of the last digit are considered the stem. A stem plot graph retains the original data and is useful for middling sized data sets.

I have a parole who is a junior in high school. He tardily took his ACT, is signed up for the SAT, and has been looking at acceptance grade at colleges that hes interested in. This would come in handy to look at a few diametric variables and how they correlate or if they correlate.

2. Explanatory Variable (or Independent Variable) This part of variable is used in a scatterplot when looking at the relationship between two quantitative variables. One of those after part usually be called explanatory or independent. This type of variable explains an early(a) variable such as age/ crest or gender and salary.

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The explantory variable is one which is used as a predictor of the response variable. Statistical will turn in the effect of the explantory variable on the response variable. In other words, how the responses are affected by explanatory variable. An example, a muse of remedial maths classes is affected by the length of the program, the text, gender, classroom, instructor all which are explanatory variables they explain the affect of the math class.

3. Distributive Property - Distributive Property states that the product of a number and a sum is equal to the sum of the respective(prenominal) products of the addends and the number. An example of this is a(b + c) = ab + ac. Another way to view this is to spawn the term...If you want to get a full essay, order it on our website: Orderessay



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