Revision 2 PDF
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Uploaded by SnappyThallium3411
Vision Colleges
2025
Ms.Alaa Anwar Altaluoni
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Summary
This document contains notes on statistical concepts, including topics such as hypothesis testing, correlation, and regression analysis, likely for a first-semester undergraduate course at Vision Colleges.
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Revesion.2 Ms.Alaa Anwar Altaluoni 1st semester, 2024-2025 Revesion| Chapter. 5 &6 1: Hypothesis: The assumption about the relationship between variables. 2: Hypothesis Testing: Statistical Technique to test the hypothesis about the population. 3: Nul...
Revesion.2 Ms.Alaa Anwar Altaluoni 1st semester, 2024-2025 Revesion| Chapter. 5 &6 1: Hypothesis: The assumption about the relationship between variables. 2: Hypothesis Testing: Statistical Technique to test the hypothesis about the population. 3: Null Hypothesis (H0 ): Assume there is no difference or relationship between variables. 4: Alternative Hypothesis (H1 ): Assume there is a difference or relationship between variables. 5: Null Hypothesis Accepted: No difference or relationship is found between variables. 6: Null Hypothesis Rejected: A significant Difference or relationship is found between variables. www.vision.edu.sa Revesion| Chapter. 5 &6 7: Statistically Significant (P-value): The criteria used either to Reject or Accept the Null Hypothesis. 8: Usually P-value is 0.05 9:Interpretation: P-value > 0.05, Not significant Analysis Null Hypothesis: Accepted. P-value < 0.05, Significant Analysis Null Hypothesis: Rejected. 10: The pic. red area Indicates that: Reject Null Hypothesis ? ? www.vision.edu.sa Revesion| Chapter. 5 &6 ? 11: The pic. green area Indicates that: Accept Null Hypothesis 12: t-test: used for Parametric, Unpaired, 2 groups 13: Paired t-test: used for Parametric, Paired, 2 groups 14: Mann Whitney test: used for Non-parametric, Un-paired, 2 groups 15: One-way ANOVA test: used for Parametric, Unpaired, more than 2 groups www.vision.edu.sa Revesion| Chapter. 5 &6 16: Correlation: Statistical Technique to measure the strength of association between 2 variables 17: Correlation Described by: Scatter Diagram 18: Positive Correlation: Both variables change in the same direction 19: Negative Correlation: Both variables change in the opposite direction 20: No Correlation: Random direction 21: Increase in Alcohol consumption Increase Liver Cirrhosis. Example of Positive Correlation www.vision.edu.sa Revesion| Chapter. 5 &6 22: Decrease in Fluid intake Increase body dehydration. Example of Negative Correlation 23: Interpretation of correlation: Range Between -1 to 1 Closer to -1: stronger Negative linear correlation. Closer to 0: weaker linear correlation. Closer to 1: stronger Positive linear correlation. 24: The pic. Indicates that: Strong Positive Correlation www.vision.edu.sa Revesion| Chapter. 5 &6 25: The pic. Indicates that: No Correlation 26: The pic. Indicates that: Strong Negative Correlation www.vision.edu.sa Revesion| Chapter. 5 &6 27: Regression Analysis: Statistical Technique used to predict the value of one variable (the dependent variable. Y) based on another variable (the independent variable. X). 28: Regression Line: Indicate the average association between 2 variables in Regression Analysis. 29: Difference between Correlation & Regression: www.vision.edu.sa Revesion| Chapter. 5 &6 30: The pic. Indicates: Correlation 31: The pic. Indicates: Regression www.vision.edu.sa www.vision.edu.sa