Paano ba gumaling sa math?”

On this course, the students must know how to find the mean and variance of a random variable, to apply sampling techniques and distributions, to estimate population mean and proportion, to perform hypothesis testing on population mean and proportion, and to perform correlation and regression analyses on real-life problems.

This course is patterend under the Teaching Guide for Teaching Senior High School "**SHS**" Framework, which stands for “**Saysay-Husay-Sarili** for Senior High School.”

1.1 Identifying Discrete Random Variable and Continuous Random Variable

1.2 Computing for Probability of Discrete Random Variable

1.3 Two Cases on Solving Probability of Discrete Random Variable

1.4 Calculating the Mean and Standard Deviation of Discrete Random Variable

1.5 Solving Probability on BINOMIAL Distribution

1.6 More Examples on Solving Binomial Probability

1.7 Finding the Mean and Standard Deviation of a Binomial Distribution

1.8 Probability and Measures of Negative Binomial or Geometric Distribution

2.1 Characteristic of Normal Distribution in Relation to Continuous Random Variable

2.2 Empirical Rule: 68-95-99.7 Rule

2.3 Solving Probability using the Empirical Rule

2.4 Solving Percentile of a Normal Distribution

2.5 Solving Normal Probability Using the Z-Score of the Distribution

2.6 Solving Normal Probability Using the Z-Table

2.7 Computing for Normal Probability Using a Graphing Calculator

3.1 Parameter VS Statistic and the Central Limit Theorem

3.2 Mean and Standard Deviation of the SAMPLE MEAN

3.3 Verifying Conditions of the Sampling Distribution of a SAMPLE PROPORTION

3.4 Computing for the Normal Approximation for Sample Proportion

4.1 Introduction to Confidence Interval

4.3 Calculating Confidence Interval for Sample Mean using T-distribution (parameter is NOT KNOWN)

4.4 Computing for the margin of error, point estimate, and standard error using T-distribution

4.5 Calculating the Desired Sample Size For Estimating the Parameter of Population Mean

4.6 Confidence Interval of Matched-Pairs Design for One-Sample Mean

4.7 Confidence Interval and Desired Sample Size for One-Sample Proportion

4.8 Procedures in Performing Confidence Interval for Population Proportion

5.1 Introduction to Hypothesis Testing

5.2 Performing Hypothesis Test for One-Sample Mean

5.3 Performing Hypothesis Testing on Paired t-Test (Difference of 2 Means)

5.4 Hypothesis Testing for Two-Sample Means

5.5 Type 1 and Type 2 Errors in Conducting Hypothesis Testing

5.6 Performing Hypothesis Testing On One-Sample Proportion

5.7 Performing Hypothesis Testing For Two-Sample Proportions

6.1 Independent vs Dependent Quantitative Variables

6.2 Interpreting Scatterplot and the Correlation Coefficient

6.3 Calculate the Slope and the Y-intercept of the Regression Line

6.4 Calculating Y = a + bx Given the Mean, Standard Deviation and R of the Data

6.5 Linear Transformation of Non-Linear Regression Line

6.6 Performing Linear Transformation in a Non-Linear Regression Line