PH 167_J_Nguyen_HW 2_Spring 2024

Chapter 3: 3.2, 3.6, 3.16 Note: Problems 3.6 and 3.16 Requires use of SPSS Table 3.6 3.2 Hospitalization 5-pts 3 a) Frequency Table(Bin Width =1) 3 Days Frequency % Cum % 3 3 3 12.0% 12.0% 4 4 2 8.0% 20.0% 4 5 4 16.0% 36.0% 5 6 1 4.0% 40.0% Q1 5 7 2 8.0% 48.0% 5 8 2 8.0% 56.0% 5 9 3 12.0% 68.0% 6 10 1 4.0% 72.0% 7 11 4 16.0% 88.0% 7 12 0 0.0% 88.0% Q2 8 13 0 0.0% 88.0% 8 14 1 4.0% 92.0% 9 15 0 0.0% 92.0% 9 16 0 0.0% 92.0% 9 17 1 4.0% 96.0% 10 18 0 0.0% 96.0% Q3 11 19 0 0.0% 96.0% 11 20 0 0.0% 96.0% 11 21 0 0.0% 96.0% 11 22 0 0.0% 96.0% 14 23 0 0.0% 96.0% 17 24 0 0.0% 96.0% 30 25 0 0.0% 96.0% 26 0 0.0% 96.0% 27 0 0.0% 96.0% 28 0 0.0% 96.0% 29 0 0.0% 96.0% 30 1 4.0% 100.0% 25 100.0% What percentage of patients stayed for 10 days? 4% What percentage of patients stayed for 12 days or less? 88% What percentage of patients stayed for 12 days or more? 12%

b) Make a Frequency Table with a Bin Width = 3 Omit the Extreme Value = 30 Frequency Table(Bin Width =3) Days Frequency % Cum % 0-3 3 12.5% 12.5% 4-7 9 37.5% 50.0% 8-11 10 41.7% 91.7% 12-15 1 4.2% 95.8% 16-19 1 4.2% 100.0% 24 100.0% c) Make a Histogram with Bin Width = 3 Freq 10 9 8 7 6 5 4 3 2 1 0-3 4-7 8-11 12-15 16-19 Shape Asymmetrical, Positive Skew Location Mean: 8.6 Median: 8 Spread 11 (Q3) - 5 (Q1) = 6 Continue down to next page

3.16 Using SPSS make a Histogram and Box Plot 2-pts (use the "inc-pov-hlthins.sav" file in SPSS Data Files) Create a histogram with "noins" variable Shape: Positive skew Std. Dev.: 3.465 Center: Outliers: 25 Create a boxplot with "noins" variable, categorized by East of West of Mississippi. What is your interpretation of this data? 13.8 ( median ) States lying west of Mississippi are less likely to have health insurance than those from east of Mississippi, as indicated by the center of the right graph (west of

from east of Mississippi, as indicated by the center of the right graph (west of Mississippi) being greater than that of the left (east of Mississippi). However, the larger range of data on the west of Mississippi graph indicates a significant gap in access to health insurance between states west of Mississippi.