Hypothesis Testing Paper
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 sex, religion, or color of the individual. In this study researchers will delve deeper into the reasons for an untreated mental condition and how that pertains to their living situations. The term homelessness has different meaning dependant on who is using the term. It is safe to say that there are those that stereotype this term. The correct meaning for someone of a homeless statute is found at HUD.gov. 1. An individual who lacks a fixed, regular, and adequate nighttime residence; and 2. An individual who has a primary nighttime residence that is -...

...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...

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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...

...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...

...One Sample HypothesisTestingPaper
Do Major League Baseball teams with higher salaries win more frequently than other teams? Although many people believe that the larger payroll budgets win games, which point does vary, depending on the situation. “…performances by individual players vary quite a bit from year to year, preventing owners from guaranteeing success on the field. Team spending is certainly a component in winning, but no team can buy a championship.” (Bradbury). For some, it’s hard not to root for the lower paid teams. If the big money teams, like Goliath, are always supposed to win, it’s hard not cheer for David. This paper will discuss the effects of payroll budgets on the percentage of wins for the 30 Major League Baseball teams of 2007.
There’s 30 major league baseball teams divided into two divisions. The payrolls for the 2007 30 major league teams are based on a 40 man roster and include salaries and prorated shares of signing bonuses, earned incentive bonuses, non-cash compensation, buyouts of unexercised options and cash transactions. There may be some cases were parts of the salaries are deferred or discounted to reflect present-day values. The following list is in order of highest payroll. The chart on the left is payroll and the one on the right is number of wins for 2007.
Based on the charts if a team is at the top end of the payroll chances are they will have a good season, after...

...one-sample hypothesispaper will formulate both a numerical and verbal hypothesis and show the five step hypothesis of the data that is acquired. The experiment will also describe the results and findings of the hypothesistesting to answer the question above. This paper will analyze raw data tables and the results of the Z-test using both graphical and tabular methods.
Numerical and Verbal HypothesisAccording to Caroline Fouts (2008), "Debit cards have become a very popular way to pay for everything from fast food to rental cars." The Federal Reserve reports that debit card transactions have been growing more than 20% annually and have surpassed credit card transactions" (¶ 4). The appeal is understandable as debit cards are quick and convenient to use (Fouts, 2008). The Century National Bank Data Set will help us determine if the average balance of account holders is directly related to ownership of a debit card. The bank data will either allow us to accept or reject our hypothesis that the average balance of account holders with debit cards is lower than those without. The research for the hypothesis will be completed by calculating that average balances of customers with and comparing the average balances of those without debit cards.
The null hypothesis for the bank data set would be : the average balance of account holders with...

...APP6JMaloney problems 2. 4, 6, 10, 18, 22, 24
2 ) The value of the z score un a hypothesis test is influenced by a variety of factors.
Assuming that all the other variables are held constant, explain how the value
of Z is influenced by each of the following?
Z= M - u / SD
a) Increasing the difference between the sample mean and the original.
The z score represents the distance of each X or score from the mean.
If the distance between the sample mean and the population mean the z score will
increase.
b) Increasing the population standard deviation.
The standard deviation is the factor that is used to divide by in the equation. the bigger the SD,
then the smaller the z score.
c) Increasing the number of scores in the sample.
Should bring the samples mean closer to the population mean so z score will get smaller.
4) If the alpha level is changed from .05 to .01
a) what happens to the boundaries for the critical region?
It reduces the power of the test to prove the hypothesis.
You increase the chance of rejecting a true H
b) what happens to the probability of a type 1 error?
Type 1 error is falsely reporting a hypothesis,
Where you increase the chance that you will reject a true null hypothesis.
6) A researcher is investigating the effectiveness of a new study skills training program for elementary
school childreen. A sample of n=25 third grade children is selected to...

...HYPOTHESISTESTING
WHAT IS THIS HYPOTHESIS????
• In simple words it means a mere assumption or supposition to be proved of disproved.
• But, for a researcher it is a formal question that he intends to resolve.
• Example: I assume that 1) under stress and anxiety a person goes into depression.
2) It leads to aggressive behaviour.
Eg. : Students who get better counselling in a university will show a greater increase in creativity than students who were not counselled.
• So, the hypothesis should be capable of being verified and tested.
CHARACTERISTICS
• Should be clear and precise – inferences not reliable
• Capable of being tested
“ A hypothesis is testable if other deductions can be made from it which, in turn can be confirmed or disproved by observation.”
• Should be limited in scope and must be specific
• Should be stated in simple terms -understandable by all concerned.
• Must explain the facts that gave rise to the need for explanation.
BASIC CONCEPTS: NULL & ALTERNATIVE HYPOTHESIS
• If we are to compare two methods A & B and both are equally good, then this assumption is termed as null hypothesis(H0)
• If it is stated that method A is better than method B-alternative hypothesis(Ha)
LEVEL OF SIGNIFICANCE
• A very important concept in the context of hypothesistesting
• It is represented in a % age...

...HypothesisTesting For a Population Mean
The Idea of HypothesisTesting
Suppose we want to show that only children have an average higher cholesterol level than the national average. It is known that the mean cholesterol level for all Americans is 190. Construct the relevant hypothesis test:
H0: = 190
H1: > 190
We test 100 only children and find that
x = 198
and suppose we know the population standard deviation
= 15.
Do we have evidence to suggest that only children have an average higher cholesterol level than the national average? We have
z is called the test statistic.
Since z is so high, the probability that Ho is true is so small that we decide to reject H0 and accept H1. Therefore, we can conclude that only children have a higher average cholesterol level than the national average.
Rejection Regions
Suppose that = .05. We can draw the appropriate picture and find the z score for -.025 and .025. We call the outside regions the rejection regions.
We call the blue areas the rejection region since if the value of z falls in these regions, we can say that the null hypothesis is very unlikely so we can reject the null hypothesis
Example
50 smokers were questioned about the number of hours they sleep each day. We want to test the hypothesis that the smokers need less...