Nonparametric Hypothesis Testing Paper
ABC’s real estate agency has recently expanded its business and is in the process of conducting research on housing prices within 10 miles of its new office. Team B has been given the task by ABC real estate to conduct the needed research. The team will be able to answer at the end of the research if the prices in Santa Cruz, California, are less than the prices of house in Scott’s Valley, California. Throughout this research process the team will formulate the hypothesis statement, perform a five-step hypothesis test, discuss which nonparametric test was needed, and discuss the results from this data research compare to past research completed. Five-Step Hypothesis Test

The five-step hypothesis test will determine if consumers have a greater satisfaction when the consumer(s) pay more for the home. Step one is to state the null hypothesis and alternative hypothesis: Ho: µ1 = µ2 No difference in satisfaction

Ho: µ1≠ µ2 Satisfaction differs for the two groups

Step two evaluates if the assumptions have been met through the Mann-Whitney test selection that will compare the two populations and will assume equal variances with a 95% confidence level, the significance level is .05. The decision rule is to reject Ho if z>1.645. Step three the ranks are summed and calculated using the Wilcoxon – Mann-Whitney test. T1 = 264.5 and T2 = 244.5. The sum T1 + T2 must be n(n + 1)/2 where n = n1 + n2 = 18 +20 = 38. Since n(n + 1)/2 = (38)(39)/2 +741 and the sample sums are T1 + T2 = 264.5 + 244.5 = 509, our calculation check. α = 0.05. The results of the Mann-Whitney test:

Wilcoxon – Mann-Whitney Test

n sum of ranks
18384 Group 1
20357 Group 2
38741 total

351.00 expected value
34.11 standard deviation
0.95 z, corrected for ties
.3407 p-value (two-tailed)

Step four is to make a decision to reject Ho if z>1.645.
Step five is the conclusion based on the...

...ANOVA HypothesisTestingPaper
RES/342
July 5, 2011
University of Phoenix
ANOVA HypothesisTestingPaper
According to Payscale.com an individual with a high school education entering the work force will earn less than an individual with the same level of education who has worked longer in that particular field (Harrison, 2010). Team A has selected data from the Wages and Wage Earners data set and will be using the analysis of variance, also known as ANOVA, to compare the mean of age groups 18 - 63 which were broken down into four age groups to compare the average salary of each age group and will determine the accuracy of Payscale’s claim. In this paper we discuss our research question and the hypothesis and show how we concluded the selected hypothesis.
Research Question and Hypothesis Statement
Is there a difference in earned wages for workers with a 12th grade education based on the age of the worker? At a five percent level of significance (α), the team’s null hypothesis (H0) is that the mean scores are the same for the four groups 18-25, 26-33, 36-44, and 46-53. The alternate hypothesis (H1) is that at least one mean is different. These hypotheses are simply illustrated as: H0: πgroup 1 = πgroup 2 = πgroup 3 = πgroup 4, H1: At least one mean is different.
Five Steps...

...1
5
HYPOTHESISTESTINGPAPER
JILL HOLMAN
PSY/315
September 1, 2014
Jennifer Slothower
HYPOTHESISTESTINGPAPER
We are seeing the influence of psychosocial stress on the course of bipolar disorder being increasingly recognized. Child adversity is not just a topic that is discussed, but is a topic that is real in the society in which we live. Child adversity can hit close to home. A child experiences this by being in a state or instance of serious or continued difficulty (Merriam-Webster, 2014). Situations of these types are terrible to see and can affect the child, but just not as children. These types of situations could include: verbal, physical, or sexual abuse, neglect, parental death, bullying, or even poverty. The effects of these types of situations can carry on into an individual's adulthood as well as concerning his/her physical and mental well-being. See what we are looking into is not just child adversity, but another topic as well. The question being asked is, "Does early child adversity make bipolar disorder more likely?" Individuals have their own views and opinions on this topic and question. In this hypothesistesting, a description of the research issue and a hypothesis statement, regarding the research hypothesis and the null hypothesis will be addressed. For the accuracy of the research issue,...

...HypothesisTesting
* Used to prove which are the factors that are actually impacting the mean or standard deviation of the project y.
* To see the impact of improvements after they are implemented
* P- value is critical in making decisions.
* To determine if the statistical hypothesis is true or false, the entire population should be examined, which becomes impossible for large sizes, Random sampling is done.
* The conclusion for the population is based upon statistical significance determined from sample data.
What is a Hypothesis?
* Is used to describe the assumption.
* Is based on the population parameters.
* Must be clearly stated for correct decision-making.
* Is proved based on that evidence from Statistical test.
Null Hypothesis. Ho is a statement (assumption) about population(s) parameters.
* It is the one assumed to be true unless stated otherwise
* Generally describes the present status
Alternate Hypothesis, Ha, is the negation or compliment of the null hypothesis.
* Generally describes a difference
HypothesisTesting
* Let us illustrate the concept using a justice system.
* H0: Person is not guilty
* H1: Person is guilty
* Strong evidence is required to prove a person guilty, that is, to reject the Ho.
HypothesisTesting: Types of...

...
HypothesisTestingPaper
Team A
PSY/315
July 7, 2014
Instructor: Regina Pendergrass
Inside statistics, it has to be understood what hypothesistesting is to find and verify research to be studied. Hypothesistesting is a form of research that is used to show how a certain issue will end or how the researcher(s) think the issue will end in the environment that it is situated. The testing will show that even though an answer may form, it does not prove the answer is correct secondary to the fact that there can me many factors that could change the outcome; this is where researchers can use probability rates of five or one percent. In understanding hypothesistesting, it must be known what the difference between null and research hypothesis means. A null hypothesis attempts to show that there is no variation between variables or that a single variable is actually no different from zero. A null hypothesis is what the researcher attempts to disprove, reject, or nullify. The research hypothesis is the specific testable predictions made about the independent and dependent variables inside the study. With the research hypothesis, it matches what the researcher(s) is attempting to prove true inside the problem or issue.
Hypothesis...

...HypothesisTesting
MTH 233/Elementary Statistics
Abstract
In this paper, Team A will be determining and discussing how there will be an overall shortage of truck drivers in the years of 2012 and 2014. We will be using a null hypothesis and alternative hypothesis to determine which hypothesis is correct. The subject that is being testing is the issue of a possible decrease in the number of truck drivers that are present on our roads today.
A hypothesis test is being conducted to test the shortage of truck drivers in the coming years. Within the past years, the trucking industry has seen a decrease in the number of drivers on the road. This is due in part to the economy as well as the many regulations that are placed upon the industry (Beard, 2011). These regulations include the number of hours that truck driver is able to drive as well as the number of potential drivers who are unable to pass the mandated drug testing and if these potential drivers have a DUI (driving under the influence) within the past five to 10 years. Another reason for the shortage is that many of the younger population in the job force are seeking employment in the technology business; leaving an older population who is in this field who will retire in the approaching years. With these issues at hand, we can now look at the changes and how this will affect the...

...HypothesisTestingPaper
Homelessness is an ever growing problem that the numbers seem to increase in severity in the larger cities. Chicago, Illinois has numbers that exceed more than 93,000 individuals that are homeless and out of those there is close to 20,000 that also suffer with a mental illness. In addressing the link between mental illness and homelessness it is clear that the numbers are large due to lack of medical care and the de-institutionalization from the 1960’s. In an attempt to prove this it is going to be discussed in how one that has a mental illness that is untreated will also have a higher increase of homelessness.
The Research Hypothesis
“People with untreated psychiatric illnesses comprise one-third, or 200,000 people, of the estimated 600,000 homeless population” (NAMI, 2003). Mental illness and homelessness is a problem that is not just limited to sex, gender, age, or a location of the U.S. There are several problems that are associated with having a mental illness and being homeless. These areas would include lack of proper medical care, food, social status, working conditions, and shelter. In Chicago, those with a mental illness have a greater increase in being homeless.
In order to gain the proper research that is needed for this study there will need to be citizens from the greater area of Chicago that are suffering with an illness and are homeless. There will be no bearing on the...

...HypothesisTesting I
Pat Obi
What is a “Hypothesis?”
A statement or claim about the value of a
population parameter: μ, σ2, p
Pat Obi, Purdue University Calumet
2
Decision Rule
1.
x 0
Z
s
n
Compare calculated Z value to Z value from
Table (critical Z value)
Reject H0 if calculated Z value lies in the
rejection/significance region (i.e. region)
ALTERNATIVELY:
2.
Compare p-value to
Reject H0 if p-value <
Pat Obi, Purdue University Calumet
3
Two-Tail Test
Ex: H0: 0 = 50; H1: 0 ≠ 50. Test at α = 0.05
Reject H0 if calculated Z is either less than ZCV
on the left tail or greater than ZCV on the right
0
Rejection region: /2 = 0.025
Rejection region: /2 = 0.025
0
ZCV = -1.96
ZCV = 1.96
Pat Obi, Purdue University Calumet
4
One-Tail Test: Right/Upper Tail
Ex: H0: 0 ≤ 55; H1: 0 > 55. Test at α = 0.05
Reject H0 if calculated Z > Table Z (i.e. Zcv)
0
Rejection region: = 0.05
ZCV = 1.645
Pat Obi, Purdue University Calumet
5
One-Tail Test: Left/Lower Tail
Ex: H0: 0 ≥ 12; H1: 0 < 12. Test at α = 0.05
Reject H0 if calculated Z < Table Z (i.e. Zcv)
0
Rejection region: = 0.05
ZCV = -1.645
Pat Obi, Purdue University Calumet
6
Z Table (critical Z values)
Significance
Level
Zcv
One-Tail Test
Zcv
Two-Tail Test
0.10
1.285
1.645
0.05
1.645
1.960
0.01
2.326
2.576
Pat Obi, Purdue University Calumet
7
Rules Governing the Statement of
Hypothesis
In...

...all, the video did a fair job buttressing my understanding of hypothesistesting. The textbook explained the aspects and steps of hypothesistesting in a legible fashion, while the video helped demonstrate a real-life application.
I learned from the text that hypothesistesting is a “Procedure for deciding whether the outcome of a study (results from a sample) supports a particular theory or practical innovation (which is thought to apply to a population)” (Aron A., Aron, E., and Coups, 2011, p. 145). I also learned that hypothesistesting follows a set procedure that appears as follows:
Step 1) Restate the question as a research hypothesis and a null hypothesis about the populations
- Basically, a researcher constructs a hypothesis. Then he/she forms a null hypothesis that opposes the research hypothesis in
polar fashion. To help support one’s research hypothesis, one has to disprove the null hypothesis.
Step 2) Determine the characteristics of the comparison distribution
- When using two or more samples, one must gather information about the distribution of means.
Step 3) Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected
- Most researchers...