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STATISTICS FINAL PROJECT

MARK GRUNEWALD

I chose to explore the topic of if individuals in overall colder states have more cases of depression than in the warmer states. While doing research on this topic I stumbled upon many different reasons as to why my topic could be proven factual. The first disorder I found was Seasonal Affective Disorder which is primarily individuals whose moods are determined by the weather. Another topic I discover was that “normal” health individuals are affected by the weather as well. The topic that stood out the most to me is SAD (Seasonal Affective Disorder). I chose to accept this topic because rarely so I hear anything about SAD let alone someone talking about it.

WHAT IS SAD?

Seasonal affective disorder (SAD) is a type of depression that tends to occur (and recur) as the days grow shorter in the fall and winter. It is believed that affected people react adversely to the decreasing amounts of sunlight and the colder temperatures as the fall and winter progress. It is important to note that although seasonal affective disorder usually presents in the fall and winter there are those who suffer from this condition during the summer instead of, or in addition to, during the fall or winter. Seasonal affective disorder has not been long recognized as an official diagnosis. The term first appeared in print in 1985. Seasonal affective disorder is also sometimes called winter depression, winter blues, or the hibernation reaction.

The incidence of seasonal affective disorder increases in people who are living farther away from the equator. Statistics on seasonal affective disorder in the United States include that this disorder occurs in about 5% of adults, with up to 20% of people having some symptoms of the condition but not sufficient enough to meet diagnostic criteria for this disorder. Seasonal affective…...

...Statistics Final Review 1.|Using the z-table (Table E), find the critical value (or values) for a = .08 two-tailed test.| |A) 1.4051 B) 1.7507 C) 1.4051 D) 1.7507| 2.|A report states that 38% of home owners had a vegetable garden. How large a sample is needed to estimate the true proportion of home owners who have vegetable gardens to within 5% with 90% confidence?| |A) 64 B) 128 C) 255 D) 510| 3.|If the equation for the regression line is y = –8x + 5, then the intercept of this line is| |A) 10 B) 5 C) –3 D) –8| 4.|For the samples summarized below, test the hypothesis at =.05 that the two variances are equal.|Variance|Number of data values|Sample 1|25|7|Sample 2|9|17|| A)|Accept the hypothesis because the test value 7.72 is greater than the critical value 3.34.| B)|Reject the hypothesis because the test value 2.78 is less than the critical value 3.16.| C)|Reject the hypothesis because the test value 7.72 is greater than the critical value 3.16.| D)|Accept the hypothesis because the test value 2.78 is less than the critical value 3.34.| 5.|For the conjecture "The average age of students in this class is 23", the null hypothesis is:| A)|We accept the hypothesis that the average age of students in this class is 23| B)|The average age of students in this class is 23| C)|The average age of students in this class is not 23| D)|We reject the hypothesis that he average age of students in this class is 23| 6.|Compute...

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...Introduction Purpose of this Project,to find out the releationship between population and the square of countries is tried to be understood. This Project includes 129 observations and 30 samples.We tested with 95% cofidence interval Step 1:State null and alternate hypotheses Step 2:Select a level of significance Step 3:Identify the test statistic Step 4:Formulate a decision rule Step 5:Take a sample,arrive at a decision Step 1 Hypothesis Test: Ho:The average population of countries is equal or less than 39.786.098 H1:The average population of countries is more than 39.786.098 Step 2The significance level is 0.05 Step 3Because the sample is 30,z distribution has been used Step 4Reject Ho if z>-1.96 or z<-1.96 or if p<0.05 Step 5z<-1.65 Ho is rejected.We can conclude the average population of countries is more than 39.786.098 POPULATION: China | India | Indonesia | Brazil | Bangladesh | Nigeria | Japan | Ethiopia | Egypt | Germany | Turkey | Iran | Congo, Democratic Republic of the | France | Italy | Myanmar (Burma) | Korea, South | Colombia | Argentina | Kenya | Algeria | Canada | Morocco | Iraq | Afghanistan | Nepal | Malaysia | Ghana | Korea, North | Mozambique | Madagascar | Australia | Cote d'Ivoire | Cameroon | Chile | Netherlands | Burkina Faso | Niger | Malawi | Kazakhstan | Ecuador | Cambodia | Mali | Guatemala | Angola | Cuba | Greece | ......

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...Ian Wamboldt Math 533- Applied Managerial Statistics Course Project Part C February 10, 2013 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the "best fit" line. Interpret. ------------------------------------------------- MINITAB OUTPUT: ------------------------------------------------- Regression Analysis: Credit Balance($) versus Size ------------------------------------------------- ------------------------------------------------- The regression equation is ------------------------------------------------- Credit Balance($) = 2591 + 403 Size ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- Predictor Coef SE Coef T P ------------------------------------------------- Constant 2591.4 195.1 13.29 0.000 ------------------------------------------------- Size 403.22 50.95 7.91 0.000 ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- S = 620.162 R-Sq = 56.6% R-Sq(adj) = 55.7% ------------------------------------------------- ------------------------------------------------- ------------------------------------------------- Analysis of Variance ------------------------------------------------- ------------------------------------------------- Source DF ...

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...Course Project Part A Math 533 Keller Graduate School of Management Sept. 13, 2013 The purpose of this report is to provide feedback to AJ Davis Department Store so that they will have a better understanding of the makeup of their customer. This report will utilize three of the five customer variables that were determined by AJ Davis. The variables that were used for this study were: Income, location, credit balance, family size, and years at current household. Using these variables I will show how there may or may not be correlations between some variables and not others. Also, numerical descriptions will be used to show mean income, minimum and maximum credit balances, and family size just to give a few examples. Now that we have established a basis for this report let’s look at the analysis of the data. The first information we are going to discuss is customer income. Here is a statistical description of the income of all 50 of the customers that were sampled for this report. Descriptive Statistics: INCOME ($1000) Variable N Mean StDev Minimum Q1 Median Q3 INCOME($1000) 50 43.48 14.55 21.00 30.00 42.00 55.00 Variable Maximum INCOME($1000) 67.00 The information above shows that the average income of the customers at AJ Davis is $43,480 per year given the 50 customers who were sampled. It also shows us that 25% of the customers that were sampled have an income of #30,000 or less and 75% of their......

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...Statistics for Decision Making final exam 1. Question: (TCO 9) The annual Salary of an electrical engineer is given in terms of the years of experience by the table below. Find the equation of linear regression for the above data and obtain the expected salary for an engineer with 45 years of experience. Round to the nearest $100. Your Answer: | | 97,100 | | | | | 88,300 | | CORRECT ANSWER | | | 56,700 | | INCORRECT | | | 92,800 | | | Instructor Explanation: Textbook Chapter 9, week 2 lecture Points Received: 0 of 6 2. Question: (TCO 5) A company produces window frames. Based on a statistical analysis, we found that 15% of their product is defective. They have shipped 10 windows to one of their customers. The customer is worried about the probability of having defective frames. Choose the best answer of the following: Your Answer: | | This is an example of a Poisson probability experiment | | | | | This is an example of a Binomial probability experiment | | CORRECT | | | This is neither a Poisson nor a Binomial probability experiment | | | | | Not enough information to determine the type of experiment | | | Instructor Explanation: Ch4: binomial and Poisson distribution concepts. Points Received: 6 of 6 3. Question: (TCO 5) A test is composed of six multiple choice questions where each......

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...FACULTY OF SCIENCE AND TECHNOLOGY XBTP4106 PROJECT: Case Study on the Occupational Safety and Health at SMK Senibong Construction Site, Lundu, Kuching, Sarawak Pau Chiong Hing Pusat Pelajaran Sarawak SUPERVISOR’S NAME: Tuan Haji Mahmood bin Long STUDENT’S PERSONAL DETAILS NAME : Pau Chiong Hing MATRIX. NO : 570416135561001 ADDRESS : 116 , Taman Siang, 95000 Sri Aman, Sarawak. PHONE : 019-8986891(H/P) 083-322961(R) EMAIL : pauch@oum.edu.my OCCUPATION : Site Safety Supervisor SPONSOR (IF ANY) : nil PROJECT TITLE : Case Study on the Occupational Safety and Health at SMK Senibong Construction Site, Lundu, Sarawak Table of Contents Page Acknowledgement i Declaration ii Abstract iii 1. Introduction 2.1 Research Background 1 2.2 Problem Statement 2 2.3 Objective of Study 3 2.4 Historical Perspective of Occupational Safety and Health in Malaysia 3 2. Literature Review 2.1 Occupational Safety and Health Act (OSHA) 1994 7 2.2 Letter of Appointment of Contractor 10 2.3 Safety Manual of PN Construction Sdn Bhd 11 2.4 Organization Chart of Safety and Health Committee 13 2.5 Safety Statistic for SMK Senibong Project for year 2013 14 2.6 Occupational Safety and Health Issues in Construction 15 3. Research Methodology 3.1 Desktop Review 17 3.1.1 What is Tool-box......

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...Data Analysis Project 1. The population being sampled is Facebook users. 2. My sample was selected by blasting my survey questions to a random bunch of my “friends” on Facebook through a private message. I randomly selected 50 people in hope to get at least 25 responses. 3. Question #1: If Facebook decides to impose a monthly charge for its use, would you pay to continue using it? Please respond YES or No. Question #2: On average, how many minutes a day do you spend on Facebook? 4. A. Nominal Data Analysis-Frequency Table Response | Frequency | Relative Frequency | YES | 9 | .36 | NO | 16 | .64 | B. Qualitative Data Analysis-Summary Statistics Measure of Center: Mean = 51.12 minutes Median= 43 minutes Mode = 45 minutes Measure of Spread: Range = 116 Interquartile range = 55 Average deviation from mean = 31.30 5. Graphic Display of Results: Conclusion: Based on the data, on average, people spend about 50 minutes per day on Facebook, give or take 30 minutes. The usage data shows spikes at low usage (0-30 minutes) and moderate usage (61-90). Furthermore, the data tells us that even though the population enjoys Facebook, most would not be willing to pay a monthly charge to continue using it. While this seems like this data may be reflective of the whole Facebook users population, because I only sampled friends, this data may not be an accurate reflection of the whole population. There is a whole younger and older......

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...Statistics Project Anicée Ravier BCi 2015 Introduction The purpose of this study is to reveal the differences of education in the world. The collected data shows the education situation of the countries over the years from 2000 to 2013. The research conducted was based on several websites’ comparison due to the fact that most of these databases are incomplete. The report examines 11 countries from each group based on random selection, but each part of the globe. The main question to be answered is whether there is a correlation between education, living standards (education, health…) and the type of country. How has the level of education changed the world in recent years? Today, education is still inaccessible right for millions of children worldwide. Over-age children attend 72 million primary school do not attend school and more than 759 million adults are illiterate and do not have the knowledge to improve their lives and those of their children. 1 Analyse of the data Enrolment rate in primary school in 2006 and 2013 (percentage) 2006 2013 Brazil 95 95 Canada 100 100 Côte d'Ivoire 62 62 France 99 99 Germany 96 100 Guinea 51 76 Hungary 89 97 India 84 99 Niger 40 64 South Africa 87 90 United States 92 93 Total n= 11 11 Average 81.36 88.64 Median 89 95 MAX 100 100 MIN 40 62 Range 60 38 We......

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...------------------------------------------------- Cumulating Project For RDG 543 April 18, 2015 Dan hartman Cuthbertson High School April 18, 2015 Dan hartman Cuthbertson High School Door Door PART ONE: PHYSICAL CLASSROOM SETTING 12 | Student workstations Student workstations 13 | 14 | 15 | 16 | 17 | 18 | Objectives and Procedures in English and Spanish Objectives and Procedures in English and Spanish 11 | | Student Discussion And Reading Area Student Discussion And Reading Area | 19 | Student work stations Student work stations 10 | | | Student work stations Student work stations 20 | 9 | | | 21 | 8 | | | 22 | 7 | | | 23 | 6 | | | 24 | 5 | | | 25 | 4 | | | 26 | 3 | | | 27 | 2 | | | 28 | 1 | | Teacher Desk Teacher Desk | 29 | | | 30 | | Teacher Resource area Teacher Resource area DoorSmart Board Smart Board | | Classroom dimensions: approximately 27’ by 42’ Classroom consists of 30 desktop PC’s for individual student use. These PC’s are situated on a shelf that is built into the wall and not able to be moved. The PC’s are hard wired into the network for internet connections. PC’s are all configured with Microsoft Office 2013. In addition to individual student PC’s, there are 15 traditional student desks that are used for discussion areas and for students to use when not on the PC. Some students find it more convenient to use the traditional desks......

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...Business Statistic Midterm Project * Probability of cases appealed AND reversed in each court * Probability of a case being appealed for EACH judge * Probability of a case being reversed for EACH judge * Probability of reversal given an appeal for EACH judge * Ranking of each judge within each court. State the criteria you are using for your ranking AND provide the rationale for your choice. * Analysis: Who is doing a good job AND who is not? Why do you think so? Use your created ranking criteria to analyze the data 1. Probability of cases appealed and reversed in each court The Common Pleas Court, the probability of an appeal is 0.0401 Domestic Relation Court, the probability of an appeal is 0.00384 Municipal Court, the probability of an appeal is 0.00461 The unconditional probability of an appeal across all 3 courts is (1762/43945)*(198/43945) +(106/30945)*(17/30945) +(500/108464)*(104/108464) = 1.87*10^-4 2. Probability of case being appeal for each judge were given 5 columns of the table and it come out to this. (1762 +106+500)/(43945+30495+108464)=0.0129 3. For this case the judges were given 7 columns of the table. Judges Winkler Panioto, and Grady have to lowest probability of reversal for Common Pleas, Domestic Relations, and Municipal Courts. All of these are probabilities of reversal for all cases disposed of and not only for one appealed. 4. The probability for the reversal was given 9 columns for each judge. The......

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...MAT114 (STATISTICS) Project 2 Report Alejandra Ferrer April 15, 2014 Introduction: During an election year, there will be many polls to investigate how the 2 parties will do. The purpose of this current research was to examine how the different genders (Male and Female) and the different political parties (Democrats and Republicans) feel about how our President and Congress are handling our economy and our foreign policy. This might provide insight as to how the election may go in November of 2014. Method: To investigate these research questions and hypotheses, an online survey was created using “Survey Monkey” .A convenient sample of 30 people were asked to complete the survey online (See Appendix A for the survey). RESULTS Table 1:Q1 (President and the economy) | Mean | SD | N | Men | 6.62 | 0.65 | 13 | Women | 5.53 | 2.03 | 17 | Total | 6.07 | 1.34 | 30 | Table 2:Q2 (President and foreign policy) | Mean | SD | N | Men | 5.94 | 1.41 | 13 | Women | 6.85 | 1.89 | 17 | Total | 6.39 | 1.65 | 30 | Table 3:Q3 (congress and the economy) | Mean | SD | N | Men | 6.77 | 1.46 | 13 | Women | 4.94 | 1.89 | 17 | Total | 5.55 | 1.68 | 30 | Table 4:Q4 (Congress and foreign policy) | Mean | SD | N | Men | 6.77 | 1.42 | 13 | Women | 5.71 | 2.26 | 17 | Total | 6.24 | 1.84 | 30 | Table 5:Q1 (President and the economy) | Mean | SD | N | Dem | 6.25 | 1.73 | 16 | Rep | 5.71 | 1.59 | 14 | Total | 5.98 | 1.66 | 30 | ...

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...STAT 200 Introduction to Statistics Name___Brandy L. Currie___ Final Examination: Spring 2015 OL4 / US2 Instructor ___Kumud Altmaye__ Answer Sheet Instructions: This is an open-book exam. You may refer to your text and other course materials as you work on the exam, and you may use a calculator. Record your answers and work in this document. Answer all 25 questions. Make sure your answers are as complete as possible. Show all of your work and reasoning. In particular, when there are calculations involved, you must show how you come up with your answers with critical work and/or necessary tables. Answers that come straight from programs or software packages will not be accepted. If you need to use software (for example, Excel) and /or online or hand-held calculators to aid in your calculation, please cite the source and explain how you get the results. When requested, show all work and write all answers in the spaces allotted on the following pages. You may type your work using plain-text formatting or an equation editor, or you may hand-write your work and scan it. In either case, show work neatly and correctly, following standard mathematical conventions. Each step should follow clearly and completely from the previous step. If necessary, you may attach extra pages. You must complete the exam individually. Neither collaboration nor consultation with others is allowed. Your exam will receive a zero grade unless you complete the following......

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...1. A random sample of size 15 is selected from a normal population. The population standard deviation is unknown. Assume the null hypothesis indicates a two-tailed test and the researcher decided to use the 0.10 significance level. For what values of t will the null hypothesis not be rejected? a) To the left of -1.645 or to the right of 1.645 b) To the left of -1.345 or to the right of 1.345 c) Between -1.761 and 1.761 d) To the left of -1.282 or to the right of 1.282 2. Which of the following is a characteristic of the F distribution? a) Normally distributed b) Negatively skewed c) Equal to the t-distribution d) Positively skewed Find the final exam answers here QNT 561 Final Exam (Recent Upload) 3. For a chi-square test involving a contingency table, suppose the null hypothesis is rejected. We conclude that the two variables are __________. a) related b) curvilinear c) linear d) not related 4. A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. What is the dependent variable? a) sales managers b) amount of sales dollars c) salesperson d) number of contacts Complete Answers here QNT 561 Entire Course 5. Which of the following is most appropriately displayed with a frequency table? a) What percentage of people prefer Hunt's brand ketchup b) The home location of the most valuable customers c) How much explanatory......

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...Business Statistics Group Project Restaurants Serving Times Red Lobster | 7 minutes | 16 minutes | 18 minutes | 21 minutes | 15 minutes | 14 minutes | Olive Garden | 12 minutes | 16 minutes | 14 minutes | 18 minutes | 15 minutes | 12 minutes | Logan’s Steakhouse | 9 minutes | 11 minutes | 10 minutes | 8 minutes | 13 minutes | 13 minutes | Ruth Chris Steakhouse | 16 minutes | 14 minutes | 20 minutes | 19 minutes | 10 minutes | 15 minutes | Foosackly’s | 2 minutes | 3 minutes | 1 min 45 sec | 2 minutes | 2 mins 30 secs | 2 minutes | Five Guys | 6 minutes | 4 minutes | 11 minutes | 9 minutes | 6 minutes | 4 minutes | Our group decided to research food service response times for our group project. We timed customers at 6 different restaurants: From the time they ordered their food till it was delivered. We also took note of the appearance of the restaurant, employee attitude and over-all cleanliness. Red Lobster and Olive Garden were chosen because of their similar styles of service, casual dining restaurants. Logan’s and Ruth Chris were chosen because they’re both steak-houses. Foosackly’s and Five Guys were chosen because of similar service styles, grab and go. Devon recorded the food service response times on Saturday March 24, 2012. His data was collected from 4:00 pm to 6:00 pm, at the Red Lobster on Airport Blvd in Mobile, Alabama. Devon noted that upon entering Red Lobster that a pleasant smell of butter biscuits was wafting in the lobby and he was......

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...* * * * * * Course Project GM533 Applied Managerial Statistics Professor Cook February 14, 2011 TO: FROM: DATE: February 14, 2011 SUBJECT: Analysis of Factors that Affect Property Crime Rates I have analyzed the data of the factors that affect property crime rates in the United States. Here are my results. Data The data provided included; crime rate per hundred thousand inhabitants (which included burglary, larceny, theft, and motor vehicle theft), pincome- per capita income for each state, dropout- high school drop-out rate, precip- average precipitation in inches in the major city in each state over 1951-1980, pubaid- percentage of public aid recipients, density- population/total square miles, kids- public aid for families with children (dollars per family), unemploy- percentage of unemployed workers, urban- percentage of the residents living in urban areas. This data was provided by U.S. government sources: “the 1988 Uniform Crime Reports, Federal Bureau of Investigation, the Office of Research and Statistics, Social Security Administration, the Commerce Department, Bureau of Economic Analysis, the National Center for Education Statistics, U.S. Department of Education, the Bureau of the Census, Department of Commerce and Geography Division, the Labor Department, Bureau of Labor Statistics, the National Climatic Data Center, U.S. Department of Commerce” (Bowerman, O’Connell, Orris, and Murphree). I have used a multiple regression...

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