Discussion4:TheBinomialTheorem
PartI.Writeoutthebinomialexpansionforeachbinomialraisedtothe8thpower.
1.(x+y)2.(w+z)3.(xy)4.(2a+3b)
PartII.Nowexplainhowyouranswerfor#1couldbeusedasaformulatohelpyou
ans
Math for Liberal Arts:
Discussion 3: Perimeter and Area
The most commonly used formula for the area of a triangle is A = (1/2)bh. In order to use it, we must
know the height to one of the sides of the
1. Polynomial function - A function whose rule is given by a polynomial.
2. Degree - For a term with one variable, the degree is the variable's exponent. With more than
one variable, the degree is the
1. Population the entire group of individuals about which we want information when doing a
statistical study.
2. Sample - the part of the population from which we actually collect information. The inf
Response variable This variable is always plotted on the y axis of a scatterplot. Measures an outcome
of a study. This is the variable y when x is an explanatory variable.
Explanatory variable If one
Statistics Chapter 9 Additional Vocabulary
7.
Significance and Type I Error the significance level of any fixed level test is the probability of a
Type I error. This is, is the probability that the te
Vocabulary for Chapter 5
1.
Law of Large Numbers says that if we observe more and more repetition of any chance
process, the proportion of times that a specific outcome occurs approaches a single valu
Chapter 6 additional words not included on Glossary print out)
4. variance and standard deviation of a discrete random variable supposed that X is a discrete
random variable whose probability distribu
Statistics Chapter 10 Additional Vocabulary
7.
Using the two-sample t procedures: the normal condition:
Sample size less than 15: Use 2-sample t procedures if the data in both samples/groups appear
cl
Chapter 8 Vocabulary - additional
5.
Interpreting Confidence Levels and Confidence Intervals Confidence Levels to say that we
are 95% confident is shorthand for 95% of all possible samples of a given
Chapter 7 Vocabulary - additional
8. Mean and Standard Deviation of the sampling distribution of x bar Suppose that x bar is
the mean of an SRS of size n drawn from a large population with the mean an