{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

ch19inferencesonproportionspart1.studentview

# ch19inferencesonproportionspart1.studentview - Chapter 19...

This preview shows pages 1–5. Sign up to view the full content.

Chapter 19: Inferences on Proportions (Part 1) A. Dichotomous Population and  Point Estimation of  p There are two types of data: (1) continous data, such as weight, length, (2) discrete data, such as number of rabbits, number of patients. For the former, we assume that the data have a normal population.  Our main interest is in making inferences of  μ. We have studied them before. Now let us look at the latter.  Consider a  dichotomous population , in which each member is  either A or A‘ (i.e. non-A).

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Example are shown below:
We are interested in the parameter p =proportion of A-members If  p  is known, then everything is OK. If  p  is unknown, then we shall take a sample of size  n and count the number of A’s.  Say this is  r Then, we can make inferences on  p . A point estimate of p (see Chapter 14(E)) is: For other inferences such as the interval estimate and  the test of hypotheses, we usually look at cases with  large  n. ) 1 ...... ( )......... ( ˆ ortion sampleprop n r p = =

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
B. Normal approximation for the Distribution of From the above discussion we see that  r  (the number  of A’s in  n  trials) has a  binomial distribution                          (see Chapter 10)   Note that  r  is NOT fixed. It is variable taking various
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 14

ch19inferencesonproportionspart1.studentview - Chapter 19...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online