...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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...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 | Chad | ...
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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 population...
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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 $43,480 per year given the 50 customers who were sampled. It also shows us that 25% of the customers that were sampled have an income of #30,000 or less and 75% of their customers...
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...Ian Wamboldt Math 533- Applied Managerial Statistics Course Project Part C February 10, 2013 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the "best fit" line. Interpret. ------------------------------------------------- MINITAB OUTPUT: ------------------------------------------------- Regression Analysis: Credit Balance($) 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 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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...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 judges...
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...HOW SAD IS YOUR STATE? 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...
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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 greeted...
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...Table of Contents: Introduction A. Analysis of Individual Variables 1 – Sales 2 – Calls 3 – Type B. Analysis of Selected Variable Pairs 1 – Sales vs. Calls 2 – Sales vs. Type 3 – Calls vs. Type C. Conclusion Introduction In collecting this data, we are determining the number of sales the employees have closed and correlating that information to the amount of calls the employee makes during the week and type of training that each employee has received. The goal is to determine whether or not the type of training (or the lack thereof) and the amount of calls made affect the amount of sales each employee closes during the week. The inference is that the number of sales that are closed during the week are larger for those who have completed some type of training. Analysis of Individual Variables 1. Sales Mean – 42.467 Median – 42 Mode – 43,44 Range – 20 Standard Deviation – 4.259 Variance – 18.139 Once the data is organized it is clear to see the number of sales each week falls between 32 sales/wk to 52 sales/wk. The average weekly sales come to 42.467 with a majority of employees closing 42 sales or more per week. There is a difference of 20 sales from the employee with the least amount of closed sales to the employee with the most sales closed during the week. 2. Calls Mean – 162.59 Median – 161.50 Mode – 149 Range – 77 Standard Deviation – 18.46 Variance – 340.81 The number...
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...snaptutorial.com PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet PSYCH 625 Week 1 Individual Assignment Reliability and Validity Matrix PSYCH 625 Week 1 Individual Assignment Time to Practice – Week One PSYCH 625 Week 2 Individual Assignment Time to Practice – Week Two PSYCH 625 Week 2 Learning Team Assignment Statistics Project Import Data Into IBM ® SPSS ® Software PSYCH 625 Week 3 Individual Assignment Time to Practice – Week Three PSYCH 625 Week 3 Learning Team Assignment Hypothesis Testing Problem Worksheet PSYCH 625 Week 3 Learning Team Assignment Statistics Project Descriptive Statistics PSYCH 625 Week 4 Individual Assignment Time to Practice – Week Four PSYCH 625 Week 4 Learning Team Assignment Statistics Project Comparing Means PSYCH 625 Week 5 Individual Assignment Programmatic Assessment Time to Practice – Week Five PSYCH 625 Week 5 Learning Team Assignment Statistics Project Correlations PSYCH 625 Week 6 Individual Assignment Overview of Important Statistical Tests PSYCH 625 Week 6 Learning Team Assignment Statistics Project Presentation ----------------------------------------- PSYCH 625 Week 1 Individual Assignment Basic Concepts in Statistics Worksheet For more classes visit www.snaptutorial.com Complete the following questions. Be specific and provide examples when relevant. Cite any sources consistent with APA guidelines. What are statistics and how are they used in the behavioral sciences? Your answer should be...
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...yourself with SPSS and (ii) completing the homework exercises to complete the Assignment 2 (Research Report) for assessment (20% of your MKTG7510 Grade). SPSS is accessible in all computer labs in Building 39A and 35. Please check current times of access to the computer labs and plan your study time accordingly. 1. How to create a new project? (1) Click on the ‘Start’ menu. Click on ‘All Programs’. (2) You will find the folder ‘Data Analysis and Stats Programs’ - click it to open the folder. (3) Click on the ‘IBM SPSS statistics’ folder. Click on the ‘IBM SPSS Statistics’ icon. (4) Once SPSS is open, the screen (see Fig. 1) asks you what you would like to do: either type in the data manually, or find an existing data file (as circled below). Figure 1: Create a New Project MKTG7510 Market and Consumer Research S1-2014 P. 1/20 2. What are the main components of an SPSS ‘project’? When you open a new ‘project’ you will see the Data Editor window where the raw data are visible. However, there are multiple windows that allow you to interact with the data in different ways. The following is a list of the main components of a ‘project’. i. Data Editor: screen containing all the data and information for one study. You can have multiple worksheets open when working in SPSS. However, the Data Editor window only displays your current worksheet similar to a spread sheet format, with rows and columns that intersect to form individual cells. Although...
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...PAPER OR THE PROJECT IN ANY WAY, SHAPE OR FORM. (i) Strengthening statistical capacity in support of progress toward the internationally agreed development goals in the Southern African Development Community region (ii) Implementing entities and U Secretariat partners: DESA jointly with ECA (iii) Background Statistics are an important tool in the development-policymaking processes of countries and regional organizations. They are needed for assessing the current development situation, setting objectives and targets for the future and measuring progress and development. However, a substantial gap still exists between the demand for information and the ability of most countries in the Southern African Development Community (SADC) region to routinely provide it. The SADC Regional Indicative Strategic Development Plan recognizes statistics as one of the cross-sectoral areas that need to be strengthened to foster regional cooperation and integration over the next 15 years. This project is therefore designed to improve the availability and reliability of basic data required for development planning in the SADC region, with special emphasis on data requirements for the internationally agreed development goals and the Millennium Development Goals. The project is aimed at facilitating subsequent networking among subregions through interactive sharing and management of knowledge. Furthermore, the project will strengthen links between producers and users of statistics. The project...
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...Sciences Peshawar Bachelors in Business Studies Course Plan Course Title: Statistics for Business Instructor: Shahid Ali Contact Email shahid.ali@imsciences.edu.pk Semester/Duration: 16 Weeks Course objectives : To introduce students to the concepts of statistics and to equip them with analytical tools to be used in business decision making. The course is intended to polish the numeric ability of the students to identify business problems, describe them numerically and to provide intelligible solutions by data collection and inferential principles. Course pre-requisites Intermediate statistics Attendance Policy: Late arrivals are highly discouraged. Any student coming late to a class late by 5 minutes after the scheduled start time will be marked as absent for the day. The teacher reserves discretion, however, to allow or disallow any student, to sit in the class in case of late arrivals. Attendance is not be entertained once the attendance register is closed. Class Project Students will be divided in groups for a class project. Each group will have to nominate a group leader. The details of the project will be made available to the group leader. Class Presentations Each student will have to make at least one individual presentation and one group presentation in the class. The group presentation will be on the project explained earlier. The individual presentations will start after first two weeks. ...
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...Part 1 First to get started with the project three 1.69 ounce bags of plain M&M’s were purchased from Walgreens, Rite-Aid and Dollar General. These bags will help with taking a sample of the population that is produced. Purchasing the bags from three different stores will help with the results of the project being meaningful because it is assured that the samples will be truly random. Random sampling is when all members of a group have an equal and independent chance of being selected. Next each individual bag of candy was opened and counted. When counting the candies were put into groups based on their color (blue, orange, green, yellow, red and brown) and the results were recorded on a spreadsheet. Once every bag was counted the findings were added up to find the total number of candies within each of the three 1.69 ounce bags of plain M&M’s. The findings were as followed: Bag One had 54 candies, Bag Two had 57 candies and Bag Three had 56 candies. Part 2 For this part of the project all of the data findings from the class were combined into one class data set. The data focused on the color proportions and the number of candies per bag. The information that was used for the color proportions is the total for each color and the total number of candies sampled. The data in the number candies in bag column was used for the number of candies per bag. First the sample proportions for each of the colors were calculated. A sample proportion is the number of individuals in the...
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