Explore BrainMass


This content was STOLEN from BrainMass.com - View the original, and get the already-completed solution here!

1. a - What determines an appropriate population?
b- What determines adequate sample size?
c- Please interpret: "....the study not be 'too big', where an effect of little scientific importance is nevertheless statistically detectable." And explain.

2. Consider we have a survey. What if we have non-response to particular questions in the survey. What is the impact of this type of non-response to our research? (positive or negative, etc)

3. Consider "participants refuse to answer a certain survey questions during a interview process."
What can we learn from this if anything?

4. Please define for sampling and explain the relationships among them:
a) Reliability
b) Validity
c) Accuracy
d) Precision.

© BrainMass Inc. brainmass.com October 25, 2018, 5:28 am ad1c9bdddf

Solution Preview

1. a - What determines an appropriate population?

What determines an appropriate population is that of how many he or she wants to study at that given time. For example, if the person wants to know with at least 100 individuals how they will react to a certain stimuli, then one will have to make it a controlled environment in order to make this happen.

b- What determines adequate sample size?

The adequate sample size is determined by the researcher; however, he or she needs to keep in mind that having at least 100 individuals will make it more accurate with little skewness as possible. This can make all the difference because bias will become an issue if the right sample size does not occur when studying a particular population for psychology, for example.

c- Please interpret "....the study not be too ...

Solution Summary

This solution discussed population, sample size, surveys and interviews.

See Also This Related BrainMass Solution

Sufficiency and Order Statistics

Let Y1<Y2<...<Yn be the order statistics of a random sample of size n from the uniform distribution over the closed interval [-theta, theta ]
having pdf f(x; theta ) = (1/2(theta))I[-theta , theta ](x).

Argue that the mle of theta; equals theta;hat= max(-Y1, Yn).
Demonstrate that the mle theta;hat is a sufficient statistic for theta;.
Define at least two ancillary statistics for this distribution

See attachment for better symbol representation.

View Full Posting Details