This week we will focus on...
Week 1 Learning Objectives:
Upon completion of this week, students will:
(1.) Discuss Introductory Statistics.
(2.) Discuss data collection techniques.
(3.) Organize data.
(4.) Present data.
(5.) Differentiate between association and correlation.
(6.) Discuss correlation.
(7.) Draw scatter diagrams using a statistical software such as R/RStudio.
(8.) Determine the least-squares regression line.
This week we will focus on...
Week 2 Learning Objectives:
Upon completion of this week, students will:
(1.) Discuss the meaning of Descriptive Statistics.
(2.) Discuss the Measures of Center.
(3.) Discuss the Measures of Spread.
(4.) Discuss the Measures of Position.
(5.) Solve applied problems on Descriptive Statistics.
(6.) Determine the Descriptive Statistics of Data using R/RStudio.
(7.) Discuss the meaning of Probability.
(8.) Solve applied problems on Probability.
This week we will focus on...
Week 3 Learning Objectives:
Upon completion of this week, students will:
(1.) Discuss Probability Distributions.
(2.) Solve applied problems on Probability Distributions.
(3.) Discuss the Binomial Probability Distribution.
(4.) Solve applied problems on Binomial Probability Distribution.
(5.) Discuss the Normal Probability Distribution.
(6.) Solve applied problems on Normal Probability Distribution.
(7.) Discuss the Central Limit Theorem.
(8.) Solve applied problems using the Central Limit Theorem.
(9.) Approximate Binomial Distribution to Normal Distribution.
This week we will focus on...
Week 4 Learning Objectives:
Upon completion of this week, students will:
(1.) Discuss Inferential Statistics.
(2.) Estimate Population Proportion.
(3.) Estimate Population Mean.
(4.) Draw statistical inferences from a large, realistic data set using a statistical software package such as R studio.
(5.) Discuss the meaning of Hypothesis Testing.
(6.) Explain the meaning of null and alternative hypothesis.
(7.) State the null and alternative hypothesis from a given claim.
(8.) State the type of hypothesis test.
(9.) State the population parameter being tested.
(10.) Explain the meaning of Type I and Type II errors.
(11.) Discuss social injustice related to Type I and Type II errors. (Relate Statistics to Criminology).
(12.) Identify the Type I and Type II errors from a claim.
(13.) Test the hypothesis for a claim using the Critical Method (Classical Approach).
(14.) Test the hypothesis for a claim using the Probability Value Method (P-value Approach).
(15.) Test the hypothesis for a claim using the Confidence Interval Method.
(16.) Write the decision of the hypothesis test based on the methods used.
(17.) Write the conclusion of the hypothesis test based on the decision.
(18.) Interpret the conclusion.
This week we will focus on...
Week 5 Learning Objectives:
Upon completion of this week, students will:
(1.) Test hypothesis about Two Independent Population Means.
(2.) Test hypothesis about Two Dependent Population Means / Two Matched Pairs.
(3.) Test hypothesis about Correlation of Two Populations.
(4.) Write the decision of the hypothesis test based on the methods used.
(5.) Write the conclusion of the hypothesis test based on the decision.
(6.) Interpret the conclusion.