Imagine that you are collecting data to determine what factors influence an individual's general satisfaction with life. You decide to examine several possible variables and measure the three aspects of life satisfaction. Collect the following data from nine individuals from diverse backgrounds (i.e., they should not all be family members or friends). The nine subjects should be equally distributed among the political affiliations, so you should have three Republicans, three Democrats, and three Independents/other.

Question

andijo76 · Answer

Name (not the full name, to protect privacy)
    Age
    Height
    Gender
    Years of college
    Political affiliation
    Hours worked per week
    Satisfaction with job (on a scale of 1 to 10)
    Satisfaction with income (on a scale of 1 to 10)
    Satisfaction with the economy (on a scale of 1 to 10)

For each of the variables, manually calculate the mean, the median, the mode, the standard deviation, and the variance and interpret the data regarding any interesting trends observed. For example, if you find that there are more individuals who are happy with their jobs, other variables might be the contributing factors, such as how many hours they worked or how much money they made. You could then conclude that money can contribute to one's happiness! Look for as many trends as you can and come up with your own novel interpretations of why they occurred.

andijo76 · Answer

example:
Debbie
60
5'5
f
0
Dem
40
6
4
2

andijo76 · Answer

How do i calculate this
(For each of the variables, manually calculate the mean, the median, the mode, the standard deviation, and the variance and interpret the data regarding any interesting trends observed.)

ganeshie8 · Answer

there are 9 subjects here

ganeshie8 · Answer

and below are the variables :-
 Name (not the full name, to protect privacy)
    Age
    Height
    Gender
    Years of college
    Political affiliation
    Hours worked per week
    Satisfaction with job (on a scale of 1 to 10)
    Satisfaction with income (on a scale of 1 to 10)
    Satisfaction with the economy (on a scale of 1 to 10)

andijo76 · Answer

ok

ganeshie8 · Answer

first decide which variables are numerical/categorical

ganeshie8 · Answer

cuz, calculating mean/mode/stadard deviation etc... makes sense oly for "numerical" variables

ganeshie8 · Answer

##Numerical :
Age
Height
Years of college
Hours worked per week
Satisfaction with job (on a scale of 1 to 10)
Satisfaction with income (on a scale of 1 to 10)
Satisfaction with the economy (on a scale of 1 to 10)

##Categorical :
Name 
Gender
Political affiliation

ganeshie8 · Answer

they get grouped like that maybe. let me ask u a q - do u also think "Satisfication" variables are numerical ?

ganeshie8 · Answer

guess that shouldnt matter much how we group them, 
go ahead and calculate mean/mode/standard deviation etc for ur "numerical variables"

ganeshie8 · Answer

do u have data already for the 9 subjects ?

andijo76 · Answer

yes i do

ganeshie8 · Answer

do u have it in matrix form ?
could u share ?

andijo76 · Answer

what do you mean in matrix form?

andijo76 · Answer

first section for Demorcrates
60,65,0,40,6,4,2
58,63,0,40,5,3,5
28,66,0,40,3,2,3

like this?

ganeshie8 · Answer

nvm, calculate mean/median/mode etc.. for each column of ur data

andijo76 · Answer

so take all these numbers to calculate the mode median and mean

ganeshie8 · Answer

yes, for each variable, u need to calculate those

andijo76 · Answer

i thought so but wanted to make sure thanks

ganeshie8 · Answer

np :) do u knw "R" language ?

andijo76 · Answer

no i dont sorry

ganeshie8 · Answer

no its okay, R is a statistical language... u wil get to learn it if u ever take a serious course on stats :)