1. Chi square value was calculated to determine the relationship between hypertension and gender using data on male and female patients with and without hypertension. 2. Correlation coefficient was calculated using patient age and glucose level data to determine the strength of relationship between the two variables. 3. Arithmetic mean and standard deviation were calculated using protein intake data from families to analyze protein consumption distribution.

1. 1. a. Calculate chi square value for the following
HYPERTENSION
GENDER PRESENT ABSENT TOTAL
MALE 22 28 50
FEMALE 24 36 60
TOTAL 46 64 110

2. 1.bCalculate correlation coefficient
X (age) 49 21 25 32 57 59
Y
(glucose
level)
85 65 79 75 87 81

3. 1. c. Calculate arithmetic mean and standard
deviation
Protein intake/ day (in grams) No of families
15-25 30
25-35 40
35-45 30
45-55 10
total 110

4. Short notes (3 marks)
1. Descriptive statistics
2. Statistical package
3. ANOVA
4. Presentation of data
5. Draw histogram
Class interval frequency
10-15 23
>15-20 28
>20-25 29
>25-30 14
>30-35 10
>35-40 6