Link Between Income and Happiness & Data Analyses - Statistics Assignment Help

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Question 1

You read on social media someone claiming a groundbreaking study that reported strong relationship between income and happiness, and even claimed that high income earners were generally happier than the low income earners. While you agree that money may contribute to comfort and even luxury you do not agree that money brings happiness. You search currently published literature for studies that reported similar findings but unfortunately most studies had flaws that you could clearly identify. After some thinking you decide to plan your own study to explore if there is in fact any link between income and happiness. 

You think about six study designs and what each would involve. For example, how you will carry out the study, what sort of study participants you will need for each design, what information should be collected to investigate this link, what measure of association/effect can be obtained from each design, name one confounding factor for each study design and tells how or why it will affect the findings of your study. There will be no mark for repetition of same confounding factor for more than one study design. 

You will briefly describe the above aspects as one paragraph for each of the following designs while following the formatting instructions provided below.
a) Cross-sectional study
b) Case Control study
c) Prospective Cohort study.
d) Retrospective Cohort study.
e) Quasi-experimental study. 
f) Randomized Controlled Trial


Question 2 
a) Are smokers more willing than non-smokers to help strangers who ask for cigarette? 
Choose a suitable test to answer this question and provide a short description of results from your data analysis. 
 
b) Are people more willing to help strangers when they ask for money than to help them when they ask for cigarettes?  
Choose a suitable test to answer this question and provide a short description of results from your data analysis.


Question 3 
Select those who have Self efficacy score of 35 or less and test the hypothesis that they represent a population where average daily resting energy expenditure is 1400 calories. Write null and alternative hypotheses. Choose a suitable test to answer this question and provide a short description of results from your data analysis. 


Question 4  
Test the hypothesis that there is no significant difference in average body weight among different blood groups. Choose a suitable test to answer this question and provide a short description of results from your data analysis. 


Question 5
Is there a significant difference in behavior in terms of texting while driving among people with different blood groups? Choose a suitable test to answer this question and provide a short description of results from your data analysis. 


Question 6 
Is there a relationship between texting while driving behavior and Academic Performance? Choose a suitable test to answer this question and provide a short description of results from your data analysis.


Question 7 
Test the hypothesis that there is no significant difference in average efficacy score between those who exercise regularly and those who do not exercise regularly. Choose a suitable test to answer this question and provide a short description of results from your data analysis. 


Question 8  
Test the hypothesis that there is no significant difference in responses to the statement about final exam among males, females and Others. Choose a suitable test to answer this question and provide a short description of results from your data analysis


Question 9 
Test the hypothesis that exercise status and smoking status are independent in the population. Choose a suitable test to answer this question and provide a short description of results from your data analysis. 


Question 10 
Participants were asked if they learned any new skills during pandemic lockdowns. Top five responses are coded as A, B, C, D & E (Variable: 

 

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