Download ECE STAT1100 - Wallingford Public Schools

ECE STAT1100
B Johnson
Lyman Hall High School
Period 3A (Room B2)
Period4A (Room A2)
Period4B (Room A3)
Materials
1) Book (must be covered)
2) Calculator (TI-83+)
3) Loose leaf notebook
4) Pen or Pencil
ECE Grade (check my Lyman Hall Website for a list of topics covered in ECE STAT1100)
(Test Average MP1 + Test Average MP2 + Test Average MP3 + Final Project MP4 + 1.5*Final Exam Average) / 5.5
Lyman Hall Grade
65%
20%
15%
Tests
Quizzes
Homework
Tests:
Approximately three tests per marking period. (Approximately one every two
weeks)Missed tests must be made up within five school days upon return unless
special arrangements are made with the teacher upon return. Failure to do so
will result in a zero. It is the student’s responsibility to inquiry about work that
was missed in absenteeism.
Quizzes:
Unannounced quizzes. (Approximately four to eight per marking period)Missed
quizzes will be made up following same rule as tests.
Homework:
Homework will be collected the day after it is assigned. Late homework
assignments count no more than 50%. No homework assignments will be
collected after the corresponding unit test is taken. Refer to the “Homework
Grading Rubric” on my website.
Notebook:
Students are required to have an organized notebook every class period. The
notebook should contain class handouts/notes, released items and the course
formula sheet.
Classroom Procedures:
1) Books, Notebook, Calculator and Pencils are required for every class.
2) Books must be covered
3) All school rules are to be followed
Extra Help
Tuesday and Thursday in room B17
Topics Covered in Statistics 1100
1.
Qualitative vs. Quantitative Data
Sample vs. Population
2.
Random Sampling
3.
Grouped Frequency Distributions
4.
Graphical Representations of Data
Bar Chart
Pie chart
Histogram
Polygon
Dotplot
Stem-and-Leaf (w/ variations)
Box Plots and Outliers
Interquartile Range
Fences
5.
Percentiles and Quartiles
6.
Descriptive Statistics
Measures of Center: Mean, Median, Mode
Measures of Variation: Range, Variance, Standard Deviation
Chebyshev's Rule
Empirical Rule
z-score
7.
Probability
Addition Rule and Addition Rule for Mutually Exclusive Events
Multiplication Rule and Multiplication Rule for Independent Events
Conditional Probability
Sum of the Probability of an Event and its Complement is one.
Combination Formula
Venn Diagrams, Two-way Tables, Tree Diagrams
8.
Probability Models
Discrete Random Variables
Probability distributions
Mean and Standard Deviation of a Probability Distribution
Binomial Random Variables
Binomial Formula
Mean and Standard Deviation of a Binomial
Binomial Probabilities on the calculator
Continuous Random Variables
Uniform Distributions and Probabilities
Normal Distributions
The Standard Normal Distribution
Mean and Standard Deviation
Use of the Standard Normal Table
Standardizing values and finding probabilities
Inverse Normal
9.
Sampling Distributions
Center
Spread
Shape - Central Limit Theorem
Standardizing x-bar
10.
Estimation
Confidence Interval Estimate of mu with large and small samples
Confidence Interval Estimate of p, with large samples
Sample Size to Estimate mu and Sample Size to estimate p
11.
Hypothesis Tests
Hypothesis Tests for mu, with large and small samples
Hypothesis tests for p, with large samples
P-values
12.
Two-Sample Procedures
Hypothesis Tests and Confidence Interval Estimates for mu, large and
small samples, Dependent Data
Hypothesis Tests and Confidence Interval Estimates for mu, large and
small samples, Independent Data (Pooled Variances)
13.
Introduction to Regression
Bivariate Data
Explanatory and Response variables
Scatterplots
Calculate and interpret r-values.
Plot data to determine if a linear model is appropriate
Least Squares Regression Line
Calculate and interpret the slope
Calculate and interpret the y-intercept
Use the Least Squares Regression Line to find the predicted
y-value for a given x-value
Interpret the R2 value (given in a calculator or computer printout)
Calculate and interpret residual values
Examine the scatterplot and Minitab output to find Influential points
Cautions:
Extrapolation
Lurking variables
Correlation ≠ Causation