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Math Tech IV: Data Analysis and Probability

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Math Tech IV: Data Analysis
Syllabus and Correlation to SC Standards: Probability and Statistics

Math Tech IV: Data Analysis
M. McCarson, Hillcrest High School, 2005 – 2006

Correlated to Elementary Statistics by Larson and the SC Curriculum Standards
Introduction to Statistics: Activity that demonstrates the parts of data analysis: collecting, displaying, and analyzing data; probability; finding confidence levels; performing hypothesis tests.
Chapter 1: Introduction to Statistics – August 24 – Sept. 7 (SC Standards: IA1, IA2, IC3
Define statistics; compare statistic vs. parameter; inferential vs. descriptive statistics
Compare quantitative vs. qualitative data; identify data sets as to their level of measurement;
Identify variables as discrete or continuous
Review of definitions; quiz on sections 1.1 and 1.2
Identify the type of sample; determine how the sample represents the entire population
Activities demonstrating the types of samples
Activities demonstrating the importance of randomization
Review of Chapter 1 Case Study 1: Real Statistics vs. Real Decisions
Chapter 1 test
Chapter 2: Descriptive Statistics – Sept. 8 – Oct. 19 SC Standards IA3, IC1-2, ID1–3, IIA1-3, IIC1-2
Construct and interpret frequency distributions, histograms, and ogives
Construct and/or interpret stem-and-leaf plots, boxplots, Pareto charts, pie charts, and time series charts
Activities for collecting data, deciding the best plot to use, displaying the data, interpreting and analyzing the data
Review 2.1 and 2.2; use graphing feature of graphing calculator to construct a histogram
TEST on 2.1 and 2.2
Find measures of central tendency; determine the shape of distribution and position of mean and
median in each distribution; determine the effect of adding a large or small data point
Find the range of a data set; find the variance and standard deviation for ungrouped data
Find the range, variance, and standard deviation of a set of grouped data
Interpret standard deviation using the Empirical Rule and Chebyshev’s Theorem
Activity finding measures of central tendency and variation for data that has been collected; Case study, pg. 86 Review of 2.3 and 2.4
TEST on 2.3 and 2.4 Find the quartiles, interquartile range, and other percentiles for a given data set; make a boxplot of data; determine if a data point is an outlier
Activity demonstrating boxplots
Review of 2.3
TEST on 2.3
Project on collecting data, displaying data, and analyzing data with graph and statistics of central tendency and variation. Students will present data to class as part of project.
Chapter 3: Probability – Oct. 20 – Nov. 21 Standards: IC3, ID1, IV A-2, IV B1-2, IV D1-3, IV E1
Introductory activity regarding the concept of probability and chance
Identify the sample space of a probability experiment
Identify and use simple events and properties of probability
Distinguish among classical, empirical, and subjective probability
Find the conditional probability; use the multiplication rule for sequence of events and conditional probability
Distinguish between independent and dependent events
Review of 3.1 to 3.2; Quiz on 3.1 and 3.2
Determine if two events are mutually exclusive; apply the additional rule to two events
Activity to demonstrate probability concepts; case study pg. 139
Review of 3.3
TEST on 3.1 to 3.3
Identify when to use and then use the Fundamental Counting Principle, a combination, and/or a permutation.
Apply the Fundamental Counting Principle, combinations, and permutations to probability
Activity for Fundamental Counting Principle; use calculator to find probability
TEST on 3.4
Simulation activities to distinguish between classical and empirical probability
Chapter 4: Discrete Probability Distributions – Nov. 28 – Jan. 5 Standards: IB 1, IV A3, IV B1-2, IVC1 - 2
Distinguish between discrete random variables and continuous random variables
Construct a discrete probability distribution and its graph –given the percents and finding the percents
Determine if a distribution is a probability distribution
Find the mean and expected value of a probability distribution
Activity to demonstrate the mean/expected value of a probability distribution
Review of probability distribution
TEST on 4.1
Determine if a distribution is a binomial distribution
Calculate binomial probabilities using the binomial formula, tables, and/or technology
Construct a graph of a binomial distribution; activity for finding a binomial distribution
Review of 4.2
TEST on 4.2
Expected Value Project – Students work in groups to make a game of chance that demonstrates probability distributions and expected values.
Jan. 6 – Jan. 13 Semester Exam Review and Exams
Chapter 5: Normal Probability Distributions - Jan. 18 – Feb. 10 SC Standards: I D3, III A – 2, III B - 2
Interpret graphs of normal distributions including symmetry and area
Use the Empirical Rule and Chebyshev’s Theorem to estimate the area under a curve
Find areas under the standard normal curve
Review of 5.1 and 5.2
Quiz on 5.1 and 5.2
Find the probabilities for normal distributions
Review of 5.3
Quiz on 5.3
Find a z-score given the area under the normal curve
Transform a z-score to an x-value; find a specific data value of a normal distribution
Review on 5.4
TEST on 5.4
Define and recognize a sampling distribution; find the mean and standard deviation of the sampling distribution
Activity for Central Limit Theorem
Find the probability of a sampling distribution using the Central Limit Theorem
TEST on 5.5
Chapter 6: Confidence Intervals – Feb. 13 – March 3 SC Standards: III D1
Introductory Activity
Construct and interpret confidence intervals for the population mean
Estimate the required sample size for given level and standard deviation
Review of 6.1
Quiz on 6.1
Activity for introduction to one sample proportion confidence intervals
Construct a confidence interval for a population proportion
Review of 6.3
Quiz on 6.3
Application of confidence intervals to control charts in industry and manufacturing
Review of Chapter 6
Chapter 6 Test
Chapter 7: Hypothesis Testing with One Sample – March 6 – March 23 SC Standards: III A1-2, III D2
Introduction to hypothesis testing activity
State the null and alternative hypothesis
Identify Type I and Type II errors; determine if the test is one-tailed or two-tailed test
Find a P-value and make and interpret a decision based on the results; write a claim in terms of the hypothesis.
Review of 7.1 and 7.2
TEST on section 7.1 and 7.2
Introduction to using proportions in hypothesis testing
Use the z-test to test a population proportion p
Review of section 7.4
TEST on section 7.4
Project with hypothesis test. Students will use hypothesized mean or proportion, collect data, test hypothesis, and present results.
Chapter 8: Hypothesis Testing with Two Samples (Using Technology) – March 24 – March 31
Perform a two-sample z-test for the difference between two means or two proportions
Set up null and alternative hypothesis for the test
Determine the p-value
Make a conclusion based on p-value and level of significance
Review of 8.1 and 8.4
Test on 8.1 and 8.4
Chapter 10: Chi-Square Tests – April 3 – April 26
SC Standards: IIIA1 - 2
Introductory activity to goodness of fit
Use a chi-square distribution to test whether a frequency distribution fits a claimed distribution
Quiz on 10.1
Use a contingency table to find expected frequencies
Use a chi-square distribution to test whether two variables are independent
Collect data to present in a contingency table and perform a chi-square test of independence
Quiz on 10.2
Review Chapter 10
Test on Chapter 10
Chapter 9: Correlation and Regression – April 27 – May 24 SC Standards: IB2, ID5, IIB 1-4, IID 1-2
Review of Slope:
Find the slope given two points, a line.
Find the equation of a line given two points or a line.
Quiz on Slope
Introductory activity for regression and correlation
Identify independent and dependent variables and the types of correlations
Find and estimate a correlation coefficient from a description or graph
Find the equation of a regression line
Activity to collect data for scatter plot and regression line.
Predict values using the regression line; interpret the slope of the regression line.
Review of 9.1 and 9.2
Chapter 9 Test

Optional Unit: Experimental Design – teacher supplemented

May 25 – May 31 Exam Review, Exams