Significant: P < 0.05 Not Significant: P > 0.05 Correlation (Scatterplot]: Direction Form Strength Outliers Pearson's r: >0.5 Strong, 0.3-0.49 Mode, 0.10-0.29 Weak, <0.10 Ext Weak Y= Constant + (SlopeX) DV: Y Axis IV: X Axis p= The strength of the linear r/p r2= The amount of variability in the DV explained by the r/p of the linear variables Levene Significant Not Equal Variance Nuisance Variable: Unwanted factor on independent variable Confounding Variable: A factor that effects both DV and IV Levene Not Sig: Equal Variance Positive skewed tails to right - negative tails to left, Median better for skewed Z-score (Normal Dist) - (x-u )+ o where x = value u= mean o= StdDev Cross-tabulations (IV: Column DV: Rows) IQR= Q3 - Q1 Outliers= 1.5 x IQR df= n-1 n= Sample size x mean (not normal dist) u=mean (normal dist) s= std dev (not normal dist) o= std dev (normal dist) Binomial test: 1CV>Barchart,piechart,frequencytable>comp sample proportion to populn proportioHyp: Since the introduction of maternity leave entitlements in 2010, the percentage of engineers employed by Global Construction who are female is higher than 31%.//95%CI indth 28% and 46% of engineers employed by Global Constructions are female.//The Binomial test is not sig .. p > . 050//conc not valid. Although the Binomial test was not significant, we cannot conclude that there is no change in the proportion. Using the information from the 95% confidence interval, anywhere between 28% and 46% of engineers at Global Constructions are female.//A study was conducted to explore whether the percentage of Australians using a computer at home has increased since the census in 2001.In a random sample of 100 adult Australians, 54% had used a computer at home in the previous week. This is higher than the percentage of Australians who reported using a computer at home in the 2001 census (42%), and a Binomial test shows that the difference is significant, n = 100, p = . 010. The 95% confidence interval indicates that between 44% and 64% of adult Australians use a computer at home. As expected, the percentage of Australians using a computer at home has increased since 2001. Correlations Q: 2metrics-scatterplot> Observational. The researcher did not manipulate the IV: Age.//It was hypothesised that older women tend to weigh more.//Pearson's r is sigp tt .050//Slope interpret: For each additional year in age, on average the women weighed 0.395 kg more. [OR: For every additional 10 years in age on average the women weighed 3.95 kg more.]//R2 interpret: 9% of the variation in weight can be explained by the linear relationship between age and weight.//The predictions would not be very accurate. Only 9% of the variation in weight can be explained by the linear relationship between age and weight. [91% of the variations in weight is accounted for by other factors-e.g. diet, level of exercise.]//It was hypothesised that older women tend to weigh more. In a random sample of 102 Melbourne women over the age of 18 who do not smoke and who are