Task 4

Question 1

Advantages of chi-squared:

Answer 1

• used to compare observed results with expected results
  -Expected results are based off null hypothesis
• determines if the difference between observed I expected date is due to a relationship between variables.

Question 2

Further chi-squared knowledge:

Answer 2

• Non-parametric test= evaluate distribution of data over whole populations.
  -betterto use den distribution is not entirely ‘normal’

Question 3

Bell curve:

Answer 3

Mean = mode = median → it produces an even “bell curve”.

Question 4

Skewed distribution

Answer 4

These results do not follow the mean=mode=median

Question 5

Why was a non-parametric test used?

Answer 5

• better to use when distribution is not entirely “normal”
• Bette to use when you have a smaller sample size.
• non - parametric tests are not significally affected by outliers

= they are used to evaluate distribution of data over whole populations.

Question 6

Any type 1 or type 2 errors in my work?

Answer 6

Yes = I rejected my null hypothesis when it should have been accepted due to the expected value being higher/ lows than the critical value.