Based on your experience thus far in this class, what is the probability that you will receive an "A" grade? Explain the factors you have used in arriving at this probability assessment.
We are currently in unit two of our class, The probability of me receiving a “A” grade are very low, I have a higher probability of receiving a low “B” or high “C”. Factors contributing to my probability are through the unit one individual project I could not understand the assignment and I wasn’t able to complete it. Do you believe that all students in your class will arrive at the same probability assessment that you have? Why or why not?

I do not believe all students will arrive at the same probability assessment that I have, I believe this because the probability for myself was low and I believe in my class mates and I believe they can and there’s a high probability they will receive an “A” grade. Explain what is meant by subjective probability. Research the Internet, and provide a business-related example in which subjective probability assessment would likely be used (be sure to cite your sources).

Subjective probability is a personal judgment on whether a certain outcome of a situation will happen or not, this probability is not supported by any type of data or calculations only the personals past experiences and their opinions. In a business scenario a manager may have faith in employees selling skills and assign them to go make a sale with a certain customer, based on past experiences the manager’s opinions on the worker makes him believe in his employees skills. Provide an example of when you have personally used subjective probability assessment or how you might use it in the future.

I recall using subjective probability during sports events; when I go to watch my sons games I have never seen the other team play before but I automatically make the probability of my sons team winning because of my opinions....

...Quantitative Research MethodsQuantitative means quantity which implies that there is something that can be counted. Quantitative research has been defined in many ways. It is the kind of research that involves the tallying, manipulation or systematic aggregation of quantities of data (Henning, 1986)
John W. Creswell defined quantitative research as an inquiry into a social or human problem based on testing a theory composed a theory composed of variables, measured with numbers, and analysed with statistical procedures in order to determine whether the predictive generalisations of the theory holds true. (Creswell, 2003)
On the other hand, another author defined quantitative research as the collection of numerical data in order to explain, predict and/or control phenomena of interest. Quantitative research is explaining phenomena by collecting numerical data that are analysed using mathematically based methods (Aliaga & Gunderson, 2000)
Quantitative research can also be said to be a research based on traditional scientific methods, which generates numerical data and usually seeks to establish causal relationships (or association) between two or more variables, using statistical methods to test the strength and significance of the relationships (A dictionary of Nursing, 2008)
Simply put, quantitative...

...1. How you would use the concept of probabilities to apply to profiles for hiring more satisfied individuals and
2. Other ways that probability is used in business (Use the Business Source Elite Database in the Cybrary, research how probability is used in business).
Begin your email to AIU by first providing an overview of the database, i.e., a story.
Include the following pieces of information.
Part I
a) What is the gender distribution (%females and %males)?
Solution. From the database, we know that there are 168 female people, 120 male people
among 288 people. So,
168/288=58.33% is female,
120/288=41.67% is male.
b) What is the “tenure with company” distribution by gender?
We look at all males. You can do that for females similarly. We get the following table.
From this table, we know that there are 120 males:
26 with code 2 meaning they stay in the company for 2 to 5 years.”
14 with code 3 meaning they stay in the company over 5 years”
80 with code 1 meaning they stay in the company for less than 2 years
So, the “tenure with company” distribution by male is
26/120=21.67% among 120 males stays in the company for 2 to 5 years.
14/120=11.67% among 120 males stays in the company over 5 years;
80/120=66.66% among...

...QuantitativeMethods of Data Analysis
Sales Force Survey
Respondent number: 01
1. Are you male or female? (1) Male (2) Female
2. What is the name of your employer? (1) Jones and Sons
(2) Smith and Company
(3) Tomkins
3. In which area of the country do you work?
(1) North (2) South
4. Please circle your response to the following three questions, using the following scale: 1 “strongly agree” 2 “agree” 3 “uncertain” 4 “disagree” 5 “strongly disagree”
4a) In general I enjoy my job 1 2 3 ④ 5
4b) In my company, hard work gets rewards 1 2 3 4 ⑤
4c) I often wish I was doing a different job ① 2 3 4 5
5. How many customers did you visit last month? 43
6. What was your total sales value last month? 3450.60___
7. What was your total sales value this month? 4628.90___
8. Enter the date you started working for your present employer: _1_ _6__ _88__
Codebook for sales_force_survey.sav
|Full variable name |SPSS variable|Coding instructions |
| |name | |
|Identification number |id |Subject identification number |
|Sex |sex |1 = males; 2 = females...

... Resulting test statistic for difference between proportions:
Chapter 10 Regression Analysis: Estimating Relationships
Formula for Correlation:
Slope in simple linear regression:
Intercept in simple linear regression:
Y is the dependent variable, and X1 through Xk are the explanatory variables, then a is the Y-intercept, and b 1 through bk are the slopes. Collectively, a the bs in the equation are called the regression coefficients.
Standard Error of Estimate:
R squared / R^2
General Linear Regression:
Regression line:
Sampling distribution of a regression coefficient has a t distribution with n-k-1 degrees of freedom:
ANOVA - total variation of a variable
The part unexplained by the regression equation:
The part that is explained:
SSR = SST - SSE
Point Prediction: Standard error of the prediction for a single Y:
Standard error of prediction for the mean Y:
Chapter 11, Regression Analysis: Statistical Inference
Population regression line joining means:...

...
Quantitative Research
Research Methods in Criminal Justice and Security
Professor Beshears
27 February 2014
Quantitative research collects numerical data through surveys, questionnaires, and polls. Quantitative research main purpose is to find the relationship between two variables. According to Babbie (2010) a descriptive study establishes only associations between variables while experimental defines the casualties (pg. 1). The data that is collected from the research is usually used for bigger representation of a population. The data can also be repeated if it was considered to be very accurate and reliable. Every part of quantitative research is scrutinized very carefully before the data is actually collected. The data that is collected is always in a statistics form or number form. Quantitative research can be used to investigate causal relationships, tell the future, or generalize concepts more widely. According to Babbie (2010) to the main purpose of quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed (pg. 1). There are four approaches under the Quantitative research and they are descriptive research, correlation research, causal-comparative research, and experimental research.
The research that gathers the information to test the...

...Final Assignment Take-Home Exam – Example Solutions
QUANTITATIVEANALYSIS AND BUSINESS DECISION MAKING
Question 1 – 5 Points
Leila took a standardized test and was told that her score was in the 89th percentile. Explain clearly and in only one sentence what this means. Notes:
Percentiles are a way of describing the position of a particular score within a set of scores As per the question, I was looking for one simple sentence to explain the meaning of the statement
Ideal Answer: If Leila’s score was in the 89 percentile this means that Leila scored higher than 89% of participants in the test.
th
Question 2 – 10 Points
A gas station near the Emirates Road is revaluating its gasoline-fuel reorder point. The gasoline fuel level in its main tank triggers an automatic replenishment order. The daily demand faced by the station for gasoline is normally distributed with an average of 8,000 liters and standard deviation of 2,500 liters. After the automatic order is placed, the gasoline-fuel is received at the gas station in exactly 3 days. In other words, it takes three days lead time for the gasoline to be replenished after the order has been made. At what volume should the re-order point be set to ensure that the station’s chance of being out of stock during the replenishment period is limited to a probability of 5%? Notes:
Those people who did not score full points on this question usually made it more complicated than it is. ...

...equation, namely, that make the two sides of the equation equal.
Notice a line is uniquely specified by two distinct points. If we draw infinite lines using any two distinct points in the collection, they will all coincide with one another, thereby forming one single line.
Slope: the amount X2 increases given one unit increase of X1
Intercept: the point where the line intersects with X2 axis.
Use above for Slope – great formula
Redundant Constraints – if removed will not affect the feasible region
Feasible Region – The set of all points that satisfy all constraints of the model
HW EXAMPLE
Apply Graphical analysis on the Golden Electronics problem with the correct formulation given in the
solution of Self-quiz 2. 1. Draw all the constraints 2. Identify the feasible region.
SEE HOMEWORK 1 as more example
RANGE OF OPTIMALITY
Apply the method of line of same profit on the Golden Electronics problem to identify the optimal solution graphically.
USING SOLVER
SEE HW2 FOR ADDITIONAL INFO
TREE SPANNING
SEE M3P1 for EXAMPLE
SEE M3P2 as EXAMPLE
SEE HW3
PROBABILITY
Statistics - The study of modeling uncertainty mathematically and its applications;
The conception of uncertainty is inspired by our daily observations of natural phenomena. There seem to be two components to these uncertain phenomena: Randomness vs. Regularity.
Statistics models uncertainty by using
1. Definition of random variables...

...
Quantitative Studies on Medication Adherence
Maleah Perdue
University of South Alabama
Introduction
Medication adherence is a significant issue in the health systems of today. Low medication adherence can unnecessarily increase cost of health care and the amount of admissions. According to Conn et al., inadequate medication adherence may account for up to 10% of older adult hospital admissions and may cause up to $100 billion in annual health care cost (2009). Increased medication adherence is likely linked to improved health outcomes while poor medication adherence can lead to exacerbations of disease or even fatality.
Area of Interest
The area of interest is medication adherence in adults that are living in the community. Specifically, older adults that are on multiple medications were looked at because of the increased medication adherence difficulties. There is an increased number of barriers to medication adherence with older adults including poly-pharmacy, comorbidities, vision impairment, hearing loss, and memory deficits among others.
Impact to Practice
Medication non-adherence impacts practice on a daily basis. The studies in these articles are looking to find methods that older adults use to increase medication adherence. Many different methods have a possibility of increasing medication compliance and if these methods could increase adherence the positive effect could be huge in the medical...

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