Survey Project Paper - 1100 Words

Survey Project Paper (Other (Not Listed) Sample) Content: NameTutorSubjectDateDESCRIPTIVE STATISTICS1. Categorical variables: Children's gender(D8)i. ii. Frequency Distribution and PercentagesChildrenà ¢Ã¢â€š ¬s Gender Freq % No Kids 10 23.809524 Male 17 40.476190 Female 3 7.142857 Male and Female 12 28.571429 Total 42 100 iii.) Bar Chartlefttopiv.) Pie Chart2. Numerical Variable: Monthly Income (Q5)Monthly Income Mean 2.341463 Standard Error 0.225263 Median 2 Mode 1 Standard Deviation 1.44239 Sample Variance 2.080488 Kurtosis -0.74437 Skewness 0.727962 Range 4 Minimum 1 Maximum 5 Sum 96 Count 41 B. Inferential Statistics1. Monthly Income VsNumbers of kidsThe correlation is positive and with a magnitude of 0.41 statistically significant (F0.005670.05)Therefore Increase in one monthly income leads more children but not at a very high rate.SUMMARY OUTPUT Regression Statistics Multiple R 0.419610875 R Square 0.176073286 Adjusted R Square 0.155475118 Standard Error 0.673171369 Observations 42 ANOVA  df SS MS F Significance F Regression 1 3.873612297 3.873612 8.54801 0.005670046 Residual 40 18.1263877 0.45316 Total 41 22     Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.492741247 0.202216315 7.381903 5.5E-09 1.084046828 1.901435666 1.084046828 1.901435666 X Variable 1 0.215200683 0.073605659 2.923698 0.00567 0.066438097 0.36396327 0.066438097 0.36396327 2. Construct a 95% confidence interval for "Monthly Incomeà ¢Ã¢â€š ¬Ã‚ 95% CI = Mean +/- Standard ErrorT-test is used since we are to estimate the population variance.df=42-1=41 at (ÃŽ/2) level of significance gives t=2.015Mean 2.341463 Standard Error 0.225263 t= 2.01595% CIUpper limit 2.7952Lower limit 1.8876Here we are 95% confident that similarly constructed intervals will contain the true population. i.e. We are 95% confident that the true po pulation will be between 1.8876 and 2.7952.Further translation: We are 95%confident that in the population, the average Monthly Income tends to be between 2001 to 6000.Extra CreditE.C 1.1 Monthly Income Vs Parentà ¢Ã¢â€š ¬s AgeThe correlation is positive and with a magnitude of 0.44 statistically significant (F0.0028260.05)Therefore Increase in oneà ¢Ã¢â€š ¬s monthly income results from increase in his/her age but not at a high rate.SUMMARY OUTPUT Regression Statistics Multiple R 0.449461 R Square 0.202015 Adjusted R Square 0.182066 Standard Error 0.746116 Observations 42 ANOVA  df SS MS F Significance F Regression 1 5.637184 5.637184 10.12626 0.002826 Residual 40 22.26758 0.556689 Total 41 27.90476     Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 2.34045 0.224128 10.44245 5.46E-13 1.887469 2.79343 1.887469 2 .79343 X Variable 1 0.259607 0.081582 3.182179 0.002826 0.094725 0.42449 0.094725 0.42449 E.C 1.2 Parentà ¢Ã¢â€š ¬s Age Vs Number of Kids1. Monthly Income Vs Numbers of kidsThe correlation is positive and with a magnitude of 0.44 statistically significant (F0.00320.05)Therefore Increase in one will have more kids as he/ she grows older but not at a very high rate....