Description of Variables of Interest
Age - Age is a ratio variable. According to the sample (N=30), the average age is 55.27 with standard deviation of 17.14.
Session - The numbers of sessions that each person in the population attend is a ratio variable. The average of sessions attended is 12.10 with standard deviation of 6.32.
Race - Race is a nominal variable. In the sample, African American accounts for 6.7% (2 out of 30) when compared to other ethnic groups such as White that makes up 60.0% (18 out of 30), and Latino that makes up 33.3% (10 out of 30)
Female - Female is a nominal variable. The females in this study make up 63.3% (19 out of 30) of the entire population when compared to the male population of 36.7% (11 out of 30). …show more content…
In this sample (N=30), more than half are married. The married population accounts for 56.7% of the population when compared to 43.3% (13 out of 30) that are not married.
Education - Education is an ordinal variable. The highest level of education is a doctoral degree, which accounts for 10% (3 out of 30) of the entire population. Of this population, 20% (6 out of 30) are college graduates.
Poverty Level - Poverty level is an nominal variable. In this sample (N-30), 86.7% (26 out of 30) of the participants are above poverty level when compared to 13.3% (4 out of 30) below poverty level.
Urbanicity - Urbanicity is a nominal variable. More than half of the sample, 60% (18 out of 30) form the urban participants when compared to 26.7% (8 out of 30) of suburban and 13.3% (4 out of 30) of rural …show more content…
n = Number of participants. M = Mean. SD = Standard Deviation. FPL = Federal Poverty Level
Analysis
What is the association between education and BMI-pre intervention in adult females in this study?
Based on the variables that I will be using in this study, I will be using independent sample t test.
Summary
The sample in this study is thirty with an average age of 55.27 and standard deviation of 17.14. There are twenty sessions available in this study with an average of 12.10 and standard deviation of 6.32. In this study, the race consists of African American, White, and Latino. The White participants are 60%, which made up more than half of the entire sample. This is the first evidence that the sample is not even distributed. Per gender, there are more female than male in this study. The distribution of gender is also uneven as female made more than half of the participant in this study. The female participants account for 63.3%, while male is 36.7%. The marital status showed a better distribution in this study with 43.3% are not married, and 56.7% are married. Education level is another variable that is well represented in this study. There are participants in every level of education starting from no formal education or grade 1-8 to doctoral degree. The data show that 70% of the participants have education beyond high school diploma. The poverty level of the study is poorly represented. More than 80% of the participants
Age - Age is a ratio variable. According to the sample (N=30), the average age is 55.27 with standard deviation of 17.14.
Session - The numbers of sessions that each person in the population attend is a ratio variable. The average of sessions attended is 12.10 with standard deviation of 6.32.
Race - Race is a nominal variable. In the sample, African American accounts for 6.7% (2 out of 30) when compared to other ethnic groups such as White that makes up 60.0% (18 out of 30), and Latino that makes up 33.3% (10 out of 30)
Female - Female is a nominal variable. The females in this study make up 63.3% (19 out of 30) of the entire population when compared to the male population of 36.7% (11 out of 30). …show more content…
In this sample (N=30), more than half are married. The married population accounts for 56.7% of the population when compared to 43.3% (13 out of 30) that are not married.
Education - Education is an ordinal variable. The highest level of education is a doctoral degree, which accounts for 10% (3 out of 30) of the entire population. Of this population, 20% (6 out of 30) are college graduates.
Poverty Level - Poverty level is an nominal variable. In this sample (N-30), 86.7% (26 out of 30) of the participants are above poverty level when compared to 13.3% (4 out of 30) below poverty level.
Urbanicity - Urbanicity is a nominal variable. More than half of the sample, 60% (18 out of 30) form the urban participants when compared to 26.7% (8 out of 30) of suburban and 13.3% (4 out of 30) of rural …show more content…
n = Number of participants. M = Mean. SD = Standard Deviation. FPL = Federal Poverty Level
Analysis
What is the association between education and BMI-pre intervention in adult females in this study?
Based on the variables that I will be using in this study, I will be using independent sample t test.
Summary
The sample in this study is thirty with an average age of 55.27 and standard deviation of 17.14. There are twenty sessions available in this study with an average of 12.10 and standard deviation of 6.32. In this study, the race consists of African American, White, and Latino. The White participants are 60%, which made up more than half of the entire sample. This is the first evidence that the sample is not even distributed. Per gender, there are more female than male in this study. The distribution of gender is also uneven as female made more than half of the participant in this study. The female participants account for 63.3%, while male is 36.7%. The marital status showed a better distribution in this study with 43.3% are not married, and 56.7% are married. Education level is another variable that is well represented in this study. There are participants in every level of education starting from no formal education or grade 1-8 to doctoral degree. The data show that 70% of the participants have education beyond high school diploma. The poverty level of the study is poorly represented. More than 80% of the participants