For this exercise, we use theHepatitis Disease datasetfrom UCI data repository. This data consists of 156 instances with 20 attributes.Attribute information: 1. Class: DIE, LIVE 2. AGE: 10, 20, 30,...

For this exercise, we use theHepatitis Disease datasetfrom UCI data repository. This data consists of 156 instances with 20 attributes.

Attribute information:

1. Class: DIE, LIVE

2. AGE: 10, 20, 30, 40, 50, 60, 70, 80

3. SEX: male, female

4. STEROID: no, yes

5. ANTIVIRALS: no, yes

6. FATIGUE: no, yes

7. MALAISE: no, yes

8. ANOREXIA: no, yes

9. LIVER BIG: no, yes

10. LIVER FIRM: no, yes

11. SPLEEN PALPABLE: no, yes

12. SPIDERS: no, yes

13. ASCITES: no, yes

14. VARICES: no, yes

15. BILIRUBIN: Continuous

16. ALK PHOSPHATE: Continuous

17. SGOT: Continuous

18. ALBUMIN: Continuous

19. PROTIME: Continuous

20. HISTOLOGY: no, yes

Question no 1: Use Excel and the hepatitis dataset. Answer the following questions:
(1+1+1+1+1+2=7)

a. Probability of a Male patient being dead.

b. There is one patient with attribute ANOREXIA value to be "?" -- question is, what is the likely value of this attribute for this patient?

c. What is the probability that a patient between age [10,50] use steroid? (Replace “?” with “Yes”)

d. Which one is more likely, a person with no ANTIVIRALS being Alive or a person with MALAISE being dead?

e. Which Age group is more likely to be dead ? What are the probabilities? (Group the ages in 3 groups. 20-40, 40-60, 60-80)

f. Is the age attribute normally distributed? Reason why or why not?

[ for Question no 1: you are allowed to use inbuilt excel function. As an example, for probability of a male being dead, I would like to see something as follows:

"This question could be answered by finding xx and doing xxx".

Show how finding XX

How doing XXXX

Therefore answer is:

2.
Use Excel/Python and the Hepatitis dataset: (3+2= 5)

1. 
   Create 3 different visualizations showing the mean and standard deviation (orstandard erroras it is referred to in this context) of the sampling distributions of sample age for sample sizes: 2, 5, 10
   


2. 
   What happens to the mean of the sample means of age as the sample size is increased? What happens to the standard error ?
   

[description: In addition to doing the work in python or excel, you need to write a descriptive answer that summarizes your findings.

Question no 3: USE PYTHON (1+2+2)

a. Generate a discrete uniform distribution of population size 100 between interval (1,10).)

b Consider the sample size of N=10, Simulate the sampling distribution of the sample mean. (repeat 100 times) Draw the visualization.

c Consider the sample size of N=30, what is the sample mean and sample standard deviation? (repeat 100 times). Draw the visualization.

[Code+ graphs]