$112
weeklyor $2,000 for 36 classes
What's included
36 live meetings
30 in-class hoursHomework
1-2 hours per week. Student will be provided assignments and worksheets to reinforce the concepts taught in the lessons.Assessment
Informal Assessments, Class Participation, Attendance, and Homework CompletionClass Experience
This 26-week course provides in-depth instruction of the Introductory to Statistics topics to prepare students for a wide variety of study areas. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and course exercises. Although this is a formal class which will contain lecture portions, there will be time for questions and discussions within each session. Additionally, this class is designed for students to interact with the material through guided investigations and activities. My teaching style combines lecture with examples and exercises completed both independently and with other students in the course. Word problems are integrated throughout the sessions to teach logic, reasoning, and critical thinking. Word problems also demonstrate a student’s ability to apply what they’ve learned to everyday, real life situations. The class meets for two 50-minute sessions each week through the fall and spring semesters. Students will have homework for each class and should plan on spending 30-45 mins on homework for each class session. Following are the topics by week for first and second semester: Week Beginning: Week 1. Sampling and Data: Definitions of Statistics, Probability, Data, Sampling Week 2 Frequency, Frequency Tables, Levels of Measurement Week 3 Experimental Design, Ethics, Sampling Experiment Week 4 Descriptive Statistics: Stem-and-Leaf Graphs, Line graphs, Bar Graphs, Histograms, Frequency Polygons Week 5 Box plots, Measure of the center of data, skewness, Mean, Median, Mode, Spread Week 6 Probability: Independent and mutually exclusive events, Rules of Probability Week 7 Contingency Tables, Tree and Venn Diagrams Week 8 Discrete Random Variables: Probability Distribution, Expected Value, Standard Deviation, Binomial Week 9 Geometric Distribution, Hypergeometric Distribution, Poisson Distribution Thanksgiving BREAK - NO CLASS (1 week) Week 10 Continuous Random Variables: Continuous Probability Functions, Uniform Distribution Week 11 Exponential Distribution, Continuous Distribution Week 12 The Normal Distribution: Standard Normal, Using the Normal Distribution Winter BREAK - NO CLASSES (3 weeks) Week 13 Central Limit Theorem: Sample Means, Sums Week 14 Using the Central Limit Theorem, Theorem analysis Week 15 Confidence Intervals: Single Population Mean, Population Proportion Week 16 Confidence Interval analyses Week 17 Hypothesis Testing (One-sample): Null and Alternative Hypotheses, Type 1 and Type II errors Week 18 Distributions for Hypothesis Testing, Rare events, Sample, decision, and conclusion Week 19 Hypothesis Testing (Two-sample): two population means with known and unknown Standard Deviation Week 20 Comparing Two Independent Population Proportions, Matched pair samples Week 21 The Chi-Square Distribution: Goodness of Fit Test, Test of Independence, Test of Homogeneity Spring BREAK - NO CLASS (2 weeks) Week 22 Comparison of the Chi-Square Tests, Test of Single Variance Week 23 Linear Regression and Correlation: Linear equations, Scatter Plots, Regression Equation Week 24 Correlation Coefficient, Prediction, outliers Week 25 F-Distribution and One-Way ANOVA: F-ration Week 26 Test of Two-Variances, Facts about the F-Distribution
Learning Goals
Students will improve their understanding of the basic statistical concepts.
Other Details
Supply List
e-mail to share Google Slide and .pdf text Introduction to Statistics text will be sent via email .pdf
Language of Instruction
English
External Resources
In addition to the Outschool classroom, this class uses:
Sources
Access to the internet for online calculators, .pdf text will be provided, calculator, Paper, Pencil
Excel will be discussed but not required
Meet the teacher
Teacher expertise and credentials
I hold a PhD in Education, Masters of Science in Special Education, and Bachelor of Science in Psychology. I have taken extensive course work to the PhD level in the area of descriptive statistics, probability, inferential statistics, and quantitative and qualitative research statistics.
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