Page 450 - Most-Essential-Learning-Competencies-Matrix-LATEST-EDITION-FROM-BCD

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Quarter Content Standards Performance Standards Most Essential Learning competencies Duration

The learner demonstrates The learner is able to… The learner…
understanding of…
draws conclusion about the population mean
based on the test-statistic value and the rejection
region.
solves problems involving test of hypothesis on Week 5
the population mean.
formulates the appropriate null and alternative
hypotheses on a population proportion.
identifies the appropriate form of the test-statistic
when the Central Limit Theorem is to be used.
identifies the appropriate rejection region for a Week 6
given level of significance when the Central Limit
Theorem is to be used.
computes for the test-statistic value (population
proportion).
draws conclusion about the population proportion
based on the test-statistic value and the rejection
region.
solves problems involving test of hypothesis on Week 7
the population proportion.
The learner demonstrates The learner is able to perform correlation illustrates the nature of bivariate data.
understanding of key concepts of and regression analyses on real-life constructs a scatter plot.
correlation and regression problems in different disciplines. describes shape (form), trend (direction), and
analyses. variation (strength) based on a scatter plot.
calculates the Pearson’s sample correlation Week 8
coefficient.
solves problems involving correlation analysis.
identifies the independent and dependent Week 9
variables.
calculates the slope and y-intercept of the
regression line.