STATISTICS

Introductory Statistics

Introductory Statistics

Question 1

Perform a hypothesis test to evaluate whether these two random variables are independent or not.

ANOVA

Y

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

2134.889

2

1067.444

2.164

.196

Within Groups

2960.000

6

493.333

Total

5094.889

8

Ho: The random variable Y and Z are independent.

H1: The random variable Y and Z are not independent.

As from the above table we observed that p value is greater than .05 so we accept null hypothesis and conclude that the random variable Y and Z are independent.

Question 2

Statistics

X1

X2

N

Valid

5

5

Missing

4

4

Mean

6.00

5.60

Std. Deviation

3.162

2.302

Variance

10.000

5.300

Correlations

X1

X2

X1

Pearson Correlation

1

-.378

Sig. (2-tailed)

.531

N

5

5

X2

Pearson Correlation

-.378

1

Sig. (2-tailed)

.531

N

5

5

Correlations

X1

X2

X1

Pearson Correlation

1

-.378

Sig. (2-tailed)

.531

Sum of Squares and Cross-products

40.000

-11.000

Covariance

10.000

-2.750

N

5

5

X2

Pearson Correlation

-.378

1

Sig. (2-tailed)

.531

Sum of Squares and Cross-products

-11.000

21.200

Covariance

-2.750

5.300

N

5

5

Question 3

Statistics

Poverty

Diabetes

N

Valid

2719

2719

Missing

0

0

Mean

13.1374

7.8102

Std. Deviation

4.75502

2.76458

Variance

22.610

7.643

Correlations

Poverty

Diabetes

Poverty

Pearson Correlation

1

.408**

Sig. (2-tailed)

.000

Sum of Squares and Cross-products

6.145E4

1.458E4

Covariance

22.610

5.363

N

2719

2719

Diabetes

Pearson Correlation

.408**

1

Sig. (2-tailed)

.000

Sum of Squares and Cross-products

1.458E4

2.077E4

Covariance

5.363

7.643

N

2719

2719

**. Correlation is significant at the 0.01 level (2-tailed).

One of the many paradoxes of the incomprehensible world economy today is that while hunger is spreading, in some parts of the developing world's poor struggle with another form of malnutrition: obesity and its devastating consequences of metabolic. Study of seven Latin American and Caribbean cities, coordinated by the Pan American Health Organization in 2000-2001, showed that from 45 to 72% of adults 60 and older had an increased body mass index. The prevalence of hypertension ranged from 44 to 54% and diabetes 13 to 22%. These conditions affect both rich: research in Peru, for example, found little difference between the upper and lower socioeconomic groups in terms of prevalence of hypertension and obesity. But the poor are suffering from the metabolic consequences: women in the lower third of the distribution of SES were four times more frequently than in the upper third to have abnormally high blood sugar on an empty stomach, and men in the lower third of the violations were twice rate of those at the top.

In this issue, education and counseling of patients, arm and his colleagues from the Centro de Investigación EN Alimentacion y Desarrollo (Center for Food and Development) in Sonora, a report on a small study in which they tried to change dietary habits and exercise medium low and low- income Mexicans with type 2 diabetes. They used a family ecological model, inviting diabetics and their families in a number of small groups in which they attempted to education and problem solving on how to eat better and increase physical activity. Requirements of the intervention were modest part in five sessions over 8 months. The results were disappointing in many respects.

First, the family members showed low levels of knowledge about diabetes, and apparently little inclination to learn more. First of all, 49 diabetic patients participated, it was only 38 relatives. Only three families participated in three or more sessions (compared to 30 out of 49 diabetics). Secondly, there was little effect of intervention on risk factors or diet. This may not be surprising, given the relatively low intensity intervention, but what participants said about their experience is revealing and important. In this poor, marginally employed, the minimum treatment of diabetes mellitus alone (not including any complications or conditions often associated) are estimated to cost between $ 650 and US $ 1200 per ...