Ask Copilot + 2 of 2 QOD 1. What is the probability of having a triangular foramen given that they are female? a. Probability = b. How would you right this in a Bayes format? 2. What is the probability of having an oval foramen given that they are male? a. Probability = b. How would you write this in a Bayes format? 3. P(OF.|S) m 4. P(OF.IS,) 5. P(S| OF.) 6. P(S,1 OF) 7. P(S | OF) m 8. P(OF IS IS) tm References: Rennie SR Eliopoulos, C & Gonzalez, S. Evaluation of the obturator for amen as a se sex assessment trait Forensic Sci Med Pathol 19,146-153 (2023), http://dotorg/10.1007512024 022 005 14 0 11A A Aa A-E-- AaPo - x --A- 17 Font Paragraph Week 1 with Sam - Frequentist T < ||21| T Q Normal No Spacing Heading 1 Editing Styles This folder will contain small videos on how to: how to open SPSS and your data test for normality significance testing (parametric and non parametric) correlations visualise your data reporting your results Alongside these videos there will be some example data for you to try it out on (it will be the same as in the videos so you can follow along). Here is a very basic flow chart which may help Accessibility: Investigate nglish (United Kingdom) Text Predictions: On Q Search DATA PRE LO W Focus 0 Search Mailings Review View Help E Q | 41= Week 1 with Sam - Saved v Draw Design Layout References y) -11 A^ A | Aa | Po Uab x Font x | AA 19 V 171 Paragraph Here is a very basic now criart which may neup Parametric (Normal) AA AA Comments |21| T Normal No Spacing Heading 1 Editing Dictate DATA >0.05 0.05 No Significant difference Paired t-test One Sample t-test Independent Sample t-test Descriptive Statistics->Explore Place the data that has been collected (the measurement) into the dependant list. Then click on Plots -> and tick the normality plots with tests box -> continue -> OK. Q Search PRE L W 91@ To perform normality testing do the following: Analyze->Descriptive Statistics->Explore Place the data that has been collected (the measurement) into the dependant list. Then click on Plots -> and tick the normality plots with tests box -> continue -> OK. You will get A LOT of output! Do not panic. This is good. It has now calculated all of your means and medians and interquartile ranges without you having to do any of the heavy lifting. Scroll towards the bottom and you will see a box with your normality tests Q1: What are the p-values for the Kolmonogorov-Smirnov test? Q2: What are the p-values for the Shapiro-Wilks test? Q3: Looking at your sample size, which test should you follow? Q4: Is your data normally distributed or not? Step 3 - Significance Testing So now that we know if the data is normally distributed or not, we can now start answeringour question. Is there a significant difference between the biauricular breadths of the crania from the four populations? To do this we have to perform (depends on your normality) an ANOVA (ANalysis Of Variance) test. Click on Analyze, and choose General Linear Model (not Generalized Linear Models) and then Univariate. Move the column containing the data into the Dependent Variable box. Move the column containing the codes for treatment into the Fixed Factor(s) box. Post hoc tests are also useful. Click on Post Hoc and in the new box move the column containing the treatment codes into the Post Hoc Tests for box. Select Tukey (or other tests if desired). Click on Continue to return to the Univariate dialogue box. Click on O.K. to conduct the analysis. This will compute a one-way analysis of variance to determine if there are significant differences between the means of the samples. Q5: What is the p-value from the main ANOVA test? Q6: Does this mean that there is a or is no significant difference between the samples for this measurement? Q7: From the Post-hoc test, which samples showcase that there are no significant differences? Q8: Have we accepted or rejected our null hypothesis? Q Search PRE L e W > Read aloud | Ask Copilot + R 2 of 2 Q treatment codes into the Post POC Tests for DOX. Select Tukey (or other tests if desired). Click on Continue to return to the Univariate dialogue box. Click on O.K. to conduct the analysis. This will compute a one-way analysis of variance to determine if there are significant differences between the means of the samples. Q5: What is the p-value from the main ANOVA test? Q6: Does this mean that there is a or is no significant difference between the samples for this measurement? Q7: From the Post-hoc test, which samples showcase that there are no significant differences? Q8: Have we accepted or rejected our null hypothesis? Q9: Write this up in the correct format.