Statistical methods involved in carrying out a study include planning, designing, collecting data, analyzing, drawing meaningful interpretation and reporting of the research findings.

Nov 22, 2023 · This lesson will discuss deeply the five most useful statistical techniques specifically in quantitative research: Percentage, Mean, Standard Deviation, Correlation, Regression, and Hypothesis Testing. The computational procedure for hypothesis testing will also be shown in this lesson because this is where your decision-making skill will be tested

This document provides information about statistical techniques used to analyze data. It discusses descriptive statistics, which involve simple summaries of collected data using measures like the mean, median, and mode.

1. collect data using appropriate instruments (CS_RS12-IId-g-1); 2. present and interpret data in tabular and graphical forms (CS_RS12-IId-g-2); and 3. use statistical techniques to analyze data—study of differences and relationships limited for bivariate analysis (CS_RS12-IId-g-3).

In modules 3 and 4, you'll learn powerful techniques to draw conclusions about populations based on sample data. This is your first foray into inferential statistics. You’ll start by constructing confidence intervals - a way to estimate population parameters like means and proportions with a measure of certainty.

Lesson 3 – Using Statistical Techniques to Analyze Data; At the end of this module, you should be able to: 1. collect data using appropriate instruments; 2. present and interpret data in tabular and graphical forms; and. 3. use statistical techniques to analyze data—study of differences and relationships limited for bi-variate analysis.

Feb 14, 2013 · This module focuses on analyzing quantitative data using statistical techniques such as mean, median, and mode. It provides examples of calculating these statistical measures for different data sets. Learners are expected to familiarize themselves with statistical tools for data analysis and apply the appropriate techniques to quantitative data.

Nov 26, 2021 · 2 Introductory Message For the facilitator: Welcome to the Practical Research 2 for Grade 12 Self-Learning Module (SLM) on Statistical Techniques to Analyze Data in Quantitative Research!

It also discusses using statistical techniques like bivariate analysis to analyze data and presenting it in tabular and graphical forms. The module provides examples of different research types and their associated data collection instruments.