Individuals Differing in Gender Statistics Project

Individuals Differing in Gender - Statistics Project ExampleRelation with mother Satisfaction with selfMax 453rd Quartile44.25Median341st Quartile33.75 Min22Table 2 displays the calculations required to be done to plot a box plot of the variable data. The calculations argon done using measuring rod formulae in Excel 2007Table 3 Frequency Distribution of the variables varying exposeFrequencyRelation With MotherNot in touch/no mom (1)0Not very airless (2)3Somewhat mingy (3)13Very close (4)12Like The Way I amFALSE(1)0Mostly false(2)1Sometimes false sometimes true(3)6 aboutly true(4)14true(5)7Death of Someone CloseYes= 111No= 015Considered suicide last yrYes= 12No= 024In Table 3, a frequency distribution of scores of various variables is provided. Thus it can be discovered that no unmarried is observed to have no contact what so ever with their mother. Some or the other form of relation is maintained in all the one-on-ones. Also most individuals are somewhat or very close with the ir mother. Table 4Values of statistical calculations of the variable scoresVariableStandard DeviationRangeInterquartile RangeRelation With Mother0.816496581 4 1Like The Way I am0.79265810951.5Death of Someone Close0.81649658122Considered suicide last yr0.81786234123.75The standard deviation explores the spread of scores which is calculated by looking at the differences between individual values and the mean. Thus, with a small SD we would known that a lot of values are close to the average value. Whereas, a large SD would indicate that values...Thus an idea about(predicate) the shape and distribution of the data is obtained. Hence for the variable of relationship with mother the clustering around score 3 corresponds that most individuals share somewhat close relationship with mother whereas a clustering around score 4 for satisfaction with self implies that most individuals are at most times satisfy with their own selves from the legend.In Table 3, a frequency distribution of scor es of various variables is provided. Thus it can be observed that no individual is observed to have no contact what so ever with their mother. Some or the other form of relation is maintained in all the individuals. Also most individuals are somewhat or very close with their mother.The standard deviation explores the spread of scores which is calculated by looking at the differences between individual values and the mean. Thus, with a small SD we would known that a lot of values are close to the average value. Whereas, a large SD would indicate that values are generally further away from the average value. Here in Table 4 we observe a more or less uniform standard deviation of around 0.8 which indicates that all variables have scores distributed comparably. The range gives us an idea of the limits in which the spread of the scores is occurring.