"Statistics-overview - Notepad - X File Edit Format View Help ANALYSIS - mathematical formula/statistical tools 1. Percentage 2. Summation/Total/Frequency Count 3. Measures of Central Tendency (mean, median and mode) 4. Measures of Variation/Dispersion (standard deviation, variance, range, ...) 5. Measures of Location (Percentile, Decile, Quartile, Quintile) 6. Normal Distribution (Gaussian Curve) - Balance 7. Skewness (Positively skewed and negatively skewed) - Unbalanced 8. Kurtosis (platykurtic, mesokurtic, leptokurtic) 9. Testing of Hypothesis (steps) a. Test of Difference (z-test, t-test, f-test (ANOVA), U-test....) b. Test of Relationship (pearson r, spearman rank, chi-square, point bise INTERPRETATION - making conclusion based on the analyzed data to have a concrete decision WAYS : 1. describe the table/results 2. make an implication 3. contradict/affirmation of previous study/results"Statistics-overview - Notepad X File Edit Format View Help COLLECTION - gathering of data. Methods: Interview, Questionnaire (Survey ), Registration, Experiment, Observation, Printed Materials, Valid Internet Sources. PRESENTATION - organizing the data Methods: Textual, Tabular, Graphical ANALYSIS - mathematical formula/statistical tools 1. Percentage 2. Summation/Total/Frequency Count 3. Measures of Central Tendency (mean, median and mode) 4. Measures of Variation/Dispersion (standard deviation, variance, range, . ..) 5. Measures of Location (Percentile, Decile, Quartile, Quintile) 6. Normal Distribution (Gaussian Curve) - Balance 7. Skewness (Positively skewed and negatively skewed ) - Unbalanced 8. Kurtosis (platykurtic, mesokurtic, leptokurtic) 9. Testing of Hypothesis (steps) a. Test of Difference (z-test, t-test, f-test (ANOVA), U-test. ...) Il meet.google.com is sharing your screen. Stop sharing Hide Ln 12, Col 1 180% Windows (CRLF) UTF 8 1:54 PM"Statistics-overview - Notepad X File Edit Format View Help STATISTICS - a branch of science that deals with the process of COLLECTION, PRESENTATION, (Stat/Stats) ANALYSIS and INTERPRETATION OF DATA. COLLECTION - gathering of data. Methods: Interview, Questionnaire (Survey), Registration, Experiment, Observation, Printed Materials, Valid Internet Sources. PRESENTATION - organizing the data Methods: Textual, Tabular, Graphical ANALYSIS - mathematical formula/statistical tools 1. Percentage 2. Summation/Total/Frequency Count 3. Measures of Central Tendency (mean, median and mode) 4. Measures of Variation/Dispersion (standard deviation, variance, range, ...) 5. Measures of Location (Percentile, Decile, Quartile, Quintile) 6. Normal Distribution (Gaussian Curve) - Balance 7. Skewness (Positively skewed and negatively skewed) - Unbalanced meet.google com is sharing your screen Stop sharing HideI. COURSE CONTENT: STATISTICAL ANALYSIS II. OBJECTIVES: At the end of this module, you should be able to: 1. Discuss on the introduction of statistics. 2. Articulate the importance Measure of Central Tendency and Variability especially in grading 3. Solve the normal distribution properties. 4. Evaluate the Test of Hypothesis and Its application. 5. Apply the use of statistics in research purposes. III. SOURCES: 1. Richard Auffmann, et al. Mathematics In The Modern World. 2018 Rex Book Store, Inc. 2. Discrete Mathematics: An Introduction to Mathematical Reasoning. 2011 3. Aufmann R. et al. Mathematical Excursions (Chap 1) 3"d edition (International Edition) 4. www.google.com TV. LESSON: (given in the materials posted in the google classroom or you can search in the google about statistics) V. ACTIVITY: (Make a sample statistical report from a newspaper. You can have a picture of a newspaper and make interpretation on it. VI. SUMMARY: Statistics is the science concerned with developing and studying methods for collecting, presenting, analyzing, and interpreting empirical data. The word statistics come from the original Latin "status". The collection of data about states and localities continues, largely through national and international statistical services. Statistics is a highly interdisciplinary field; research in statistics finds applicability in virtually all scientific fields and research questions in the various scientific fields motivate the development of new statistical methods and theory. In developing methods and studying the theory that underlies the methods statisticians draw on a variety of mathematical and computational tools. VII. EVALUATION: Please answer the following questions to evaluate your learning in this module. 1. Give what is required in each number. Introduce the given or a word problem. Answer using the manual computation. Be an original maker. 1. Make a sample computation (your own ungrouped data) of Measure of Central tendency (Mean, Median and Mode), one sample each with at least 15 number of data. (20 points)2. Make a sample computation {your own ungrouped data] of Measure of Variabilitnyispersion (Range, Standard Deviation and Variance}, one sample each with at least 10 number of data. {20 points} Make a sample problem computation [your own sample] of Normal DistributionINor'" " Probability Distribution. Show the solution. Draw the curve. [20 points}. 2 / 3 Make a sample computation [your own data} ofTtest following the steps of hypothesis testing [independent ttest and paired sample ttest], one sample each [20 points} Make a sample computation [your own data} of Pearson Product Correlation Method [Pearson r]. Show your computation and graph. [20 points}