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(UPDATED) Statistics and probability (Core Curriculum Subject) DLL Free Download

    

Daily Lesson Log (DLL) is a template that teachers use to log parts of their daily lessons. The Daily Lesson Log covers a day’s or a week’s worth of lessons.

(UPDATED) Statistics and probability (Core Curriculum Subject) DLL Free Download

Daily Lesson Log guidelines for daily lesson preparation was issued by the Department of Education to institutionalize instructional planning which is a critical part of the teaching and learning process in public schools. These guidelines are meant to support teachers in effectively organizing and managing K to 12 classrooms to be genuinely responsive to learners’ needs.

These guidelines in the preparation of K-12 Daily Lesson Log shall instill reflective practice among teachers by providing them opportunities to think about and reflect on their instructional practices. K-12

Daily Lesson Log preparation is part of the teacher’s core function as a facilitator of learning inside the classroom. Well-prepared and well-planned lessons are fundamental to ensuring the delivery of quality teaching and learning in schools.

As a  DepEd guideline, teachers with at least one (1) year of teaching experience, including teachers with private school and higher education institution (HEI) teaching experience, shall not be required to make a Detailed Lesson Plan (DLP). Teachers who have been in the service for at least one (1) year, handling learning areas with available LMs and TGs provided by the Department shall not be required to prepare a DLP. Instead, they shall be required to fill out a  weekly K-12 Daily Lesson Log (DLL). Teachers are allowed to work together in preparing DLLs. Seasoned or veteran teachers shall also mentor new or novice teachers in the preparation of DLLs.

To Download DLL’s, just navigate through the following links.

(UPDATED) Statistics and probability (Core Curriculum Subject) DLL Free Download

    Here is the compiled Daily Lesson Logs (DLL) for 11/12 in the 2nd Quarter. Click on the DOWNLOAD link below to get your FREE and DIRECT COPY.


NOTE: You must be LOGGED IN to your Gmail account or DepEd Email to download this file.

QUARTER 2   -    Statistics and probability   DLL

  • Statistics and probability  DLL: Quarter 2 Part 1 | Statistics and probability - DOWNLOAD 

What's Inside the (UPDATED)Statistics and probability DLL Free Download 

  • illustrates: (a) null hypothesis (b) alternative hypothesis (c) level of significance (d) rejection region; and (e) types of errors in hypothesis testing
  • calculates the probabilities of committing a Type I and Type II error.
  • identifies the parameter to be tested given a real-life problem.
  • formulates the appropriate null and alternative hypotheses on a population mean.
  • identifies the appropriate form of the test-statistic when: (a) the population variance is assumed to be known (b) the population variance is assumed to be unknown; and (c) the Central Limit Theorem is to be used.
  • identifies the appropriate rejection region for a given level of significance when: (a) the population variance is assumed to be known (b) the population variance is assumed to be unknown; and (c) the Central Limit Theorem is to be used.
  • computes for the test-statistic value (population mean).
  • draws conclusion about the population mean based on the test-statistic value and the rejection region.
  • solves problems involving test of hypothesis on 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 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 the population proportion
  • illustrates the nature of bivariate data.
  • constructs a scatter plot
  • describes shape (form), trend (direction), and variation (strength) based on a scatter plot.
  • estimates strength of association between the variables based on a scatter plot
  • calculates the Pearson’s sample correlation coefficient.
  •  solves problems involving correlation analysis.
  • identifies the independent and dependent variables.
  • draws the best-fit line on a scatter plot. M11/12SP-IVi-2 9. calculates the slope and y-intercept of the regression line
  • interprets the calculated slope and y-intercept of the regression line. 
  • predicts the value of the dependent variable given the value of the independent variable.
  • solves problems involving regression analysis. 

Must Read: Steps on How to download the file! Click Here

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