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by: Edgar Jacobi

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# Introduction to Topics in Math MATH 105

Marketplace > Kansas > Mathematics (M) > MATH 105 > Introduction to Topics in Math
Edgar Jacobi
KU
GPA 3.6

Staff

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COURSE
PROF.
Staff
TYPE
Study Guide
PAGES
2
WORDS
KARMA
50 ?

## Popular in Mathematics (M)

This 2 page Study Guide was uploaded by Edgar Jacobi on Monday September 7, 2015. The Study Guide belongs to MATH 105 at Kansas taught by Staff in Fall. Since its upload, it has received 63 views. For similar materials see /class/182399/math-105-kansas in Mathematics (M) at Kansas.

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Date Created: 09/07/15
Math 105 Test 2 Review You will want to bring something to write with a pencil would be a good plan and a calculator No notesbooksfriends will be allowed on the test Chapter 13 Collecting Statistical Data vocabulary data sample clinical study population bias control group Nvalue response rate placebo census random sampling blind study survey statistic sampling frame sampling error What factors make a good survey or census What problems can arise use the captureRecapture Method to estimate the Nvalue of a population What factors make a good clinical study What problems can occur Chapter 14 Descriptive Statistics vocabulary data set bar graph class intervals data point pictogram histogram frequency variable fivenumber summary relative frequency pie chart box plot be able to draw bar graphs and histograms be able to draw pie charts including calculating the angle 1 360 be able to find numerical summaries average first quartile inner quartile range median third quartile standard deviation percentile be able to draw box plots Chapter 15 Chances Probabilities and Odds vocabulary random experiment permutation certain event sample space probability probability assignment outcome event independent combination impossible event be able to write down or describe a sample space be able to nd the size ofa sample space count things using the multiplication rule combinations and permutations be able to evaluate Cr nPr calculator okay decide what outcomes correspond to a given event work with probability assignments nd probabilities for experiments with equally likely outcomes 0 brute force 0 roundabout approach 0 independent events key examples tossing coins ice cream cones bowls card games

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