HYPOTHESIS TESTING Directions: Identify a product available in your home. Measure the weight (g) or length (cm) of at least 10 pieces of that chosen product. Then, test the hypothesis that the product is equal to its claimed weight or length. Example: The claimed weight of Lucky Me Pancit Canton is 200 g. Use the 5 steps of hypothesis testing with 5% significance level Rubric: Criteria 9-10 45 1-3 Exemplary Satisfactory Developing Beginning Organization of Data Data are organized Data are Some of the Very few data and follows the organized and data are clearly | are organized appropriate follows the organized and and followed tabular, graphical, appropriate followed the the appropriate and textual design tabular, appropriate format. It includes more graphical, and format than the expected textual design details. Data Analysis Statistical methods Statistical Some Very fewb. Types of hypothesis c. Types of errors d. Level of significance e. Topic you want to research on 2. Develop five (5) research questions about your chosen topic. Summary Hypothesis is an educated prediction that can be tested. . Hypothesis testing is an area in statistical inference wherein we can evaluate the conjecture about some characteristics of a population based on the data gathered from the sample. . Null hypothesis is denoted by Ho. The capital letter H stands for hypothesis and the subscript 0 implies "zero difference" or "no difference.' . Alternative hypothesis (H.) is the statement that the researcher believes to be true when the null hypothesis is false. It is also known as research hypothesis. Unit V- Hypothesis Testing | 207The correlation coefficient (r) can be computed using the Pearson r formula in honor of Karl Pearson (1857 - 1936). Pearson is the one who developed the correlation coefficient. correlation coefficient (r) = nExy - ExZy InEx2 - ([x) ?] [ney2 - ([y) 2] where: x = observed value of the independent variables y = observed value of the dependent variables Pen = number of cases or sample size Example: Find the correlation coefficient (r) using the data below: x y 18 0 850 50 01 DO$ 55 120.0 2 B28 60 3 ode 61 8 SI 4 2 0 63 5 65 210. 16 Le. 680 7 70 8 72 It modwin vol gnivloe 9 32 -74 10 76 ENTY 11 78 12 80 (813 1) (301 83 (101) 14 85 10081801- Green] (2501 1 - essay ooorace ep sealThe correlation coefficient (r) can be computed using the Pearson r formula in honor of Karl Pearson (1857 - 1936). Pearson is the one who developed the correlation coefficient. correlation coefficient (r) = nExy - ExZy InEx2 - (Ex) ?] [nzy2 - ([y) 2] where: x = observed value of the independent variables y = observed value of the dependent variables Pen = number of cases or sample size Example: Find the correlation coefficient (r) using the data below: x y 18 0 850 50 01 DO$ 55 120.0 2 B28 60 3 ode 61 8 SI 4 2 0 63 5 65 210. 16 Le. 680 7 70 8 72 It modwin vol gnivloe 9 32 -74 10 76 ENTY 11 78 12 80 (813 1) (301 83 (101) 14 85 10081801- Green] (2501 1 - essay ooorace ep seal