Applied Research and Statistics QNT561
Research and Sampling Designs
Shindeera Robinson
June 21, 2010

Chapter 8
21. What is sampling error? Could the value of the sampling error be zero? If it were zero, what would this mean? Sampling error is the difference between the statistic estimated from a sample and the true population statistic. While we would expect the sampling error to not be zero, it is not impossible. For example if you were evaluating the ethnicities of a population and everyone in the population was Caucasian then taking any sample would give you the true proportion of 100% Caucasian. In other words, if the sampling error is zero then the population is uniform or you were taking a perfectly representative sample

22. List the reasons for sampling. Give an example of each reason for sampling. A sample is a finite part of a statistical population whose properties are studied to gain information about the whole(Webster, 1985). When dealing with people, it can be defined as a set of respondents(people) selected from a larger population for the purpose of a survey. A population is a group of individuals persons, objects, or items from which samples are taken for measurement for example a population of presidents or professors, books or students

34. Information from the American Institute of Insurance indicates the mean amount of life insurance per household in the United States is $110,000. This distribution follows the normal distribution with a standard deviation of $40,000. A. If we select a random sample of 50 households, what is the standard error of the mean? U=110,000 S=40,000 N= 50

SE = s/ sqrt (n) = 40000/ sqrt (50) = 5656.85425
The standard error of the mean is 5656.85425
B. What is the expected shape of the distribution of the sample mean? The expected shape of the sample mean will be the bell shaped curve, with the centered mean of 110,000 and a standard deviation of 5656.85 C. What is the likelihood of selecting a sample...

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QNT561 Final Exam
1) Which of the following measures of central location is affected most by extreme values? A. MeanB. MedianC. Mode D. Geometric mean
2) A correlation matrix…A.Shows all simple coefficients of correlation between variablesB. shows only correlations that are zeroC. shoes the correlations that are positiveD. shows only the...

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Name
Assignment
QNT/561
Date
Descriptive Statistics
Sales (in USD)
The distribution is normally distributed.
Central Tendency:
Mean = 42.84 dollars.
Dispersion:
Standard deviation = 9.073 dollars.
Count:
100
Min/Max:
Min is $23.00; Max is $64.00
Confidence Interval (alpha = 0.05):
$41.06 to $44.62
The histogram is present in Appendix A; the descriptive statistics are present in Appendix B.
Age
The distribution...

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Week...

...high cost of tuition. It has 4500 students currently enrolled and has potentially 1500 eligible to submit applications for this new grant money. It needs a study of applicant requirements, job tasks and performance expectations as part of the grant research follow-up study.
In this case the self-administered questionnaire would be the best case, because there is a large number of students to be surveyed and it would be easier to administer. It looks like there would be large...

...Running head: BUSINESSRESEARCH METHODS PART III
BusinessResearch Methods Part III
University of Phoenix
AppliedBusinessResearch and Statistics561
March 29, 2010
BusinessResearch Methods Part III
Team C’s BusinessResearch Methods Part I analysis determined a problem within Toyota Motor...

...Theorem and Confidence Intervals Problem Sets
Tiffany Blount
QNT561
September 7, 2010
Michelle Barnet
University of Phoenix
Central Limit Theorem and Confidence Intervals Problem Sets
Chapter 8 Exercises:
21. What is sampling error? Could the value of the sampling error be zero? If it were zero, what would this mean?
* Sampling error is the difference between the statistic estimated from a sample and the true population...

...Chapt 10 # 42
H0: game length is >= 3.5 hours
Ha: game length is < 3.5 hours
mean = 2.9553
stdev = 0.5596
Get the t test statistic:
t = (x-mu)/(stdev/sqrt(N))
t = (2.9553-3.5)/(0.5596/sqrt(17))
t = -4.0133
Get the critical value for df = N-1 = 16, one tail, alpha is 0.05:
-1.7459
Since our test statistic is much lower than the critical value, we reject the null hypothesis. There is enough evidence to conclude that games are shorter than 3.50...

... 0.1 reject Null Hypothesis
If p value > significance level , 0.1 Accept Null Hypothesis
Decision rule: If the area in the right tails is less than the level of significance (0.10 0r 10%) reject the Null Hypothesis
Or alternatively z statistic computed for the sample should be lesser than z corresponding to 10% significance level
p= 50.00%
q= 50.00%
n= 60
sp=standard error of proportion=square root of (pq/n)= 6.4550% =square root of ( 50.% * 50.% / 60)...

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