# data[].attributes.body
You might have this, but it is tricky for you to obtain

# data[].attributes.body
I will give you a hard copy of this on Friday 13th January

# data[].attributes.body
1.Time
2. Different way of approximation

# data[].attributes.body
1. Know when to approximate poisson as binomial and vice versa
2. Interpret probability from p.d.f graph

# data[].attributes.body
Dont forget continuity correction

# data[].attributes.body
1. Read the question more carefully
2. Answer all questions
3. Continuity correction

# data[].attributes.body
1) Check for silly mistakes, don't rush questions
2) Keep it simple

# data[].attributes.body
1. Practice questions
2. Continuouty correction
3. Practice Approximation

# data[].attributes.body
1. Be more careful and check for silly mistake
2. Read the question carefully

# data[].attributes.body
Don't rush too much at the start so you don't have to go back and correct a lot last minute

# data[].attributes.body
1. Practice sketching
2. Don't rush and forget to do the last bit of calculation
3. Continuity correction

# data[].attributes.body
1. To do more questions in preparation for tests
2. Don't forget the continuity correction when approximating using normal distribution
3. Poisson: Probability in probability revision
4. READ CAREFULLY!

# data[].attributes.headline
Crawshaw and Chambers' introduction to Continuous RVs 

# data[].attributes.subject
Crawshaw and Chambers' introduction to Continuous RVs 

# data[].attributes.body
Soft copy of handout