1. What is a Sampling Distribution?
2. How is a Sampling Distribution created?
3. Explain the Central Limit Theorem in terms of having a normal
Sampling Distribution.
4. Why is having a normal Sampling Distribution important?
5. How do we calculate the mean for a Sampling Distribution?
6. How do we calculate the standard deviation for a Sampling
Distribution?
7. How is the mean and standard deviation for a Sampling
Distribution affected as the sample size increases?
8. How do...
1) What do I mean by A will to succeed? (You'll need
to explain or define your value for your
audience)
2) Why do we need A will to succeed? (You'll want to
justify the need for your audience to accept the
value)
3) How can we develop A will to succeed? (You'll
provide the audience with suggestions as to how they can
incorporate the value into their lives)
3)
a)Conditioned emotional response - define/explain what
it is. Phobias and the story of little Albert may
be helpful to use as an example:
Phobias – the story of little Albert
White rat + GONG!
-> Cry (Fear)
NS/CS
UCS
UCR
White rat ->Cry
CS
CR
b)Conditioned taste aversions – explain what it is, and
how it
is acquired via classical conditioning. This may be
helpful:
Food poisoning
Chicken + Salmonella ->
Nausea; Vomit
Chicken
->...
What are examples of:
1. Sampling Error.
2. Sampling Distribution of Sample Means
3. Central Limit Theorem.
4. Standard Error of the Mean. The standard error of the
estimate of the mean is represented by the equation: σ√n Discuss
what this equation means, using your own words and explain why we
use it. Consider how it relates to the fact that we are making
assumptions about the population and not just the sample.
1. List the functions of audit
documentation.
2. Explain the Concept of Audit
Sampling?
3. Explain the major class of
transactions in the Revenue process
Do you find it intuitive, or not, that the mean and standard
deviation of a sampling distribution aren't impacted by population
size? Explain to a friend who hasn't taken statistics what a
sampling distribution is, and what makes them useful. What
questions can they help us answer, and what information is
required?
Explain how a sampling distribution is created. What
does the mean (center) of the sampling distribution tell us? What
is the standard deviation of the sampling distribution called and
what does it tell us?
Explain the central limit theorem. Why is it important
for a sampling distribution of sample means and sample proportions
to be normal? What requirement ensures that a sampling distribution
for sample means is normal? What requirement ensures that a
sampling distribution for sample proportion is
normal?...
1. How are Sampling Errors and Nonsampling Errors different?
2. What types of errors do you feel are most critical?
(It needs to be about 2 paragraphs)