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 hypothesis that is stated below. Five Step Hypothesis Testing Process

Data:
Year| CPS Estimate of # of Truck Drivers|
1994| 129,000|
1995| 131,000|
1996| 136,000|
1997| 146,000|
1998| 147,000|
1999| 147,500|
2000| 152,000|
2001| 151,000|
2002| 152,500|
(Beard, 2011)
Hypothesis 1: Stating the research question:
There is an overall shortage of truck drivers as the years 2012 and 2014 approach. It is said that the average shortage is from 1.4% to 0.5% per year. Using a significance level of 0.05 we are testing the claim whether the shortage of truck drivers in the year 2012...

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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....

...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...

...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...

...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...

...U.S. economy only hinders people more with high gas prices. A one population test using the One Factor ANOVA test and a five-step hypothesis test can be used to determine if gas prices are equally high in many different states. The samples used to test the hypothesis come from data collected from 30 randomly selected gas stations in six different cities. The hypothesis test and some solutions to consider may have an effect on direct and indirect...

...Lesson note #
Statistical Inference
Testing of Hypothesis
Type I Error:
Rejection of the null hypothesis when it is true is called a type I error.
Type II Error:
Acceptance of the null hypothesis when it is false is called a type II error.
|Decision of the test for the Null Hypothesis |The Null Hypothesis is |
|...

...Simple Hypothesis: A statistical hypothesis which specifies the population completely (i.e. the form of probability distribution and all parameters are known) is called a simple hypothesis.
1. Composite Hypothesis: A statistical hypothesis which does not specify the population completely (i.e. either the form of probability distribution or some parameters remain unknown) is called a Composite Hypothesis....

...What is HypothesisTesting?
A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true. Hypothesistesting refers to the formal procedures used by statisticians to accept or reject statistical hypotheses.
Statistical Hypotheses
Null hypothesis. The null hypothesis, denoted by H0, is usually the hypothesis that sample observations...