logging in or signing up Week 4 Hypothesis testing Construction physioactive Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 3409 Category: Education License: All Rights Reserved Like it (5) Dislike it (0) Added: February 01, 2008 This Presentation is Public Favorites: 6 Presentation Description Lecturer: Chee- Wee Tan Module: P1112 Introduction to Research University: Queen Margaret University, Edinburgh Comments Posting comment... By: sawal121 (8 month(s) ago) can we download this slides please sawal121@ymail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: khairulfitri (12 month(s) ago) all the information are really helpful,can u send this to me at aortic_kf@yahoo.com tq very much Saving..... Post Reply Close Saving..... Edit Comment Close By: romit36 (13 month(s) ago) a superb presentation i need this presentation ,can u send me at romit36@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: jdshenoy (13 month(s) ago) Really good presentation.can you send this to jdshenoy@gmail.com. Thank you Saving..... Post Reply Close Saving..... Edit Comment Close By: shannanna (33 month(s) ago) hello. send this to me annettannett@yadex.ru. thanks a lot Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript Hypothesis Testing & Construction: Hypothesis Testing & Construction Chee-Wee Tan P1112What are hypotheses?: What are hypotheses? Hypothesis testing – put forward a statement / question for testing whether its true. H1 – Experimental Hypothesis H0 – Null hypothesisWhat are hypotheses?: What are hypotheses? H1 – Watching day-time TV increases a person’s boredom H0 – Watching day-time TV does not increase a person’s boredom.Why use the null hypothesis?: Why use the null hypothesis? You can never prove a hypothesis but only disprove it. A scientific theory is falsifiable. Spot the Vulcan contestHow to test a hypothesis?: How to test a hypothesis? If probability of results happening by chance decreases, more confident of rejecting null hypothesis. Convention: if result happening by chance is less than 5%, reject null hypothesis. How to test a hypothesis? : How to test a hypothesis? Steps: Construct null hypothesis and experimental hypothesis. Administer intervention to one of the groups with the other acting as control. Calculate the probability of an effect happening by chance. If less than 5%, reject null hypothesis.How to test a hypothesis: How to test a hypothesis H0: Students with enforced laziness does not have worse exam grades than students without enforced laziness. Class Enforced Laziness Control Exams P =0.3 CompareDetermining if samples are different: Determining if samples are different Depends on: Research design Statistical test 2 types of variation Systematic UnsystematicTest statistic and variations: Test statistic and variations Test statistic: number with known characteristic. Examples, t and F. Tests statistic = Systematic variance Unsystematic variance The larger the test statistic, the better.Two mistakes we must know: Two mistakes we must know Effect No effect Effect No effect Findings Actual Type I & II errors: Type I & II errors Type I error (α-level) Usually set at 0.05 Type II error (β-level) Maximum acceptable level = 0.2 Increasing α will decrease β, vice versa Where is my sweater?Effect size: Effect size If an effect exists, doesn’t mean it’s important or meaningful. Need to find effect size – The magnitude of the effect Used in meta-analysis Statistics: d, r, q, g, h, w, f & f2Summary: Summary Hypothesis testing Null hypothesis How hypothesis testing works Test statistics & variations Type I & II errors Effect size Resistance is futile, assimilate knowledge You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
Week 4 Hypothesis testing Construction physioactive Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 3409 Category: Education License: All Rights Reserved Like it (5) Dislike it (0) Added: February 01, 2008 This Presentation is Public Favorites: 6 Presentation Description Lecturer: Chee- Wee Tan Module: P1112 Introduction to Research University: Queen Margaret University, Edinburgh Comments Posting comment... By: sawal121 (8 month(s) ago) can we download this slides please sawal121@ymail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: khairulfitri (12 month(s) ago) all the information are really helpful,can u send this to me at aortic_kf@yahoo.com tq very much Saving..... Post Reply Close Saving..... Edit Comment Close By: romit36 (13 month(s) ago) a superb presentation i need this presentation ,can u send me at romit36@gmail.com Saving..... Post Reply Close Saving..... Edit Comment Close By: jdshenoy (13 month(s) ago) Really good presentation.can you send this to jdshenoy@gmail.com. Thank you Saving..... Post Reply Close Saving..... Edit Comment Close By: shannanna (33 month(s) ago) hello. send this to me annettannett@yadex.ru. thanks a lot Saving..... Post Reply Close Saving..... Edit Comment Close loading.... See all Premium member Presentation Transcript Hypothesis Testing & Construction: Hypothesis Testing & Construction Chee-Wee Tan P1112What are hypotheses?: What are hypotheses? Hypothesis testing – put forward a statement / question for testing whether its true. H1 – Experimental Hypothesis H0 – Null hypothesisWhat are hypotheses?: What are hypotheses? H1 – Watching day-time TV increases a person’s boredom H0 – Watching day-time TV does not increase a person’s boredom.Why use the null hypothesis?: Why use the null hypothesis? You can never prove a hypothesis but only disprove it. A scientific theory is falsifiable. Spot the Vulcan contestHow to test a hypothesis?: How to test a hypothesis? If probability of results happening by chance decreases, more confident of rejecting null hypothesis. Convention: if result happening by chance is less than 5%, reject null hypothesis. How to test a hypothesis? : How to test a hypothesis? Steps: Construct null hypothesis and experimental hypothesis. Administer intervention to one of the groups with the other acting as control. Calculate the probability of an effect happening by chance. If less than 5%, reject null hypothesis.How to test a hypothesis: How to test a hypothesis H0: Students with enforced laziness does not have worse exam grades than students without enforced laziness. Class Enforced Laziness Control Exams P =0.3 CompareDetermining if samples are different: Determining if samples are different Depends on: Research design Statistical test 2 types of variation Systematic UnsystematicTest statistic and variations: Test statistic and variations Test statistic: number with known characteristic. Examples, t and F. Tests statistic = Systematic variance Unsystematic variance The larger the test statistic, the better.Two mistakes we must know: Two mistakes we must know Effect No effect Effect No effect Findings Actual Type I & II errors: Type I & II errors Type I error (α-level) Usually set at 0.05 Type II error (β-level) Maximum acceptable level = 0.2 Increasing α will decrease β, vice versa Where is my sweater?Effect size: Effect size If an effect exists, doesn’t mean it’s important or meaningful. Need to find effect size – The magnitude of the effect Used in meta-analysis Statistics: d, r, q, g, h, w, f & f2Summary: Summary Hypothesis testing Null hypothesis How hypothesis testing works Test statistics & variations Type I & II errors Effect size Resistance is futile, assimilate knowledge