...Collection Ballard Integrated Managed Services Inc. (BMIS) located in New York city is a nationwide organization that specializes in providing services such as housekeeping and foodservices to 22 of Fortunes top 100 companies. Their clientele also consists of over 100 firms, 16 major universities, 14 medical centers, as well as 3 regional airports. BMIS is broken down into three divisions’ hospitality, food service, and physical plant maintenance, it also employees both full and part time workers. Recently, within the past four months general manger Barbara Tucker has noticed the turnover rate within her three divisions has reached over 64% annually as compared to the average rate between 55%and 60% (University of Phoenix, 2011, BIMS, Inc. Part I). The company moral at BMIS has reached an all time low and management has not improved its relationship with employee’s .Could this be one of the reason behind the increasing turnover rate? There has also been an increased usage of paid time off (PTO). The purpose of this research analysis is to find a solution to the increasing turnover rate as well as help improve company moral and get divisions at BMIS back on track. Instrument Design The data collection instrument used in this analysis was a survey. A survey can be defined as a tool used to collect information by asking questions recording responses on individual opinions and attitudes. BMIS administered a survey to allow workers to express their views...
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...Question Three is request for the desired shift was fulfilled for the employee’s at BIMS, using the megastat results from the box plot and dot plot charts it shows that employees are 2% satisfied with how they are receiving a response for the request for the desire shift fulfilled using the dotplot chart. Using the box chart plot the count is at 78, the mean at 2.81, the sample is 1.41, and the final sample is 1.98. The first quarter using the box plot is 2.00, and the mean is 3.00, while the 3rd quarter is at 4.00, the interquarter is 2.00, with the final category of the mode at 2.00 using the descriptive statistics to final the results for the box plot. This is also used with the frequency distribution- Quantitative and shows the frequency at 78 and the percentage at 100.0. Also using the histogram to find the results at a percentage of 25% are satisfied with the request for the desired shift was fulfilled, the highest point at 2 on the histogram chart. Question four is how many sick days in the past month? The boxplot shows this at a different point than question threes mark as it is lower and using the descriptive statistics shows the count at 78, the mean at 2.77 and the sample at 1.51 and the sample at 2.28. The highest point on the dotplot is at 2 and using the frequency distribution to find the employees have a 100% of how many sick days in the past month. Using other methods to determine that the employees are near 30% using the histogram, and the frequency polygon...
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...Marketing Research Take Home Final Examination Name: Ma. Cristina Abella Course/Year: BSBA-MM 3 Case 1. Kendalures Requirement: Design the questionnaire for the fishermen who will use the lures. Develop a set of 20 questions maximum. The questions should be a variation among open-ended and closed-ended questions (i.e. dichotomous, multiple responses (with rating scales if appropriate)). The questionnaire should be formatted that is inclusive of all the prescribed parts of a marketing research questionnaire starting with opening comments that should be verbalized when approaching fishermen who are launching their boats. (35 points) RESEARCH QUESTIONNAIRE Thank you for your help with our research. The following questions serve as a guide to collect information as you test our exciting new product. We are very interested in your experience and your opinions. At the end of these, please feel free to add your own comments. We realize there may be no definitive answers to any of these questions, but as an experienced fisherman, you have a very good general idea. We are looking more for trends and opinions based on your expertise. 1. What time of day were you fishing? Before 6:00 am 12:00pm – 4:00 pm 6:00 am - 8:00 am 4:00 pm – 6:00 pm 8:00 am - 10:00 am 6:00 pm – 8:00 pm 10:00 am – 12:00 pm After 8:00 pm 2. What would you pay for something that increased your catch 300-800%? Would you pay P500.00? Would you pay...
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...Descriptive and Inferential Statistics Presentation Tony Roberson, Amani Wilson, Deandra Cobb, and Lysa Satterwhite PSY 315 November 11, 2013 Melinda Waife Descriptive and Inferential Statistics Presentation Click on link below to review Team D’s presentation. http://prezi.com/sz-i9ukpbarl/?utm_campaign=share&utm_medium=copy Tony’s Presentation Speaker Notes: Introduction: Please review Prezi Source: Flickr User "unity_creative" To understand the simple difference between descriptive and inferential statistics, all you need to remember is that descriptive statistics summarize your current dataset and inferential statistics aim to draw conclusions about an additional population outside of proposed data (eCaro, 2003). Deandra Statistics in Psychology and its function cannot be taken lightly. The importance ofthe development of psychology would not have been realized if statistics did not play such a crucial role. Important components such as inferential statistics and interactions are dynamic in the study of associations, and affiliations that are essential in psychology.Statistic is the exact phenomenon of nature and it helps in providing a better understanding. Statistics helps in the effectiveness and planning of statistical analysis in any field of study. Furthermore, helps in applicable quantitative data and in presenting complex data in a suitable level, diagrammatic and graphic form for a clear comprehension of the data. Amani Wilson Speaker Notes...
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...Using a spot the difference puzzle to find out whether being a lark or an owl affects your alertness in the morning or the evening. Results were then tested on significance using the Wilcoxon T test to decide whether the results found were reliable, or just down to chance. In theory, a lark should be more alert in the morning than in the evening compared to an owl who would be more alert in the evening. To test thins the participants were given two spot the difference puzzles and had to complete one in the morning and one in the evening. This in using the repeated measures method. This was tested on 49 participants who completed an MEQ (morning evening questionnaire) particapnats were tested in their homes at set times and given 1 minute to complete the spot the difference puzzles. Results were then tested on significance using the Wilcoxon T test to decide whether the results found were reliable, or just down to chance. Introduction The aim of the investigation was to find out the answer to the question ‘are people more alert at their preferred time of day?’ To test this, the procedures were based on the theory that A lark should be more alert in the morning and so should be able to score higher in the morning than the evening and an owl should be more alert in the evening than the morning therefore scoring higher than the larks in the evening. This hypothesis is a One-tailed Hypothesis because it is directional, these are the 4 possible hypothesis that can be tested...
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...Statistics in Psychology Team B April 5, 2014 PSY/315 Nancy Walker Many people find the topic of statistics to be very difficult and a world of confusion. If asked, most would simplify statistics to being a breakdown of information using those colorful charts and graphs. This paper will give a brief introduction into the world of statistics by examining the differences between descriptive and inferential statistics, as well as, introduce some key terms that are frequently used. It will also describe the functions of statistics and describe how they are applied in the field of psychology. Having a better understanding of the various statistical functions and definitions, we will have a better opportunity at providing examples and prove that statistics is more than just colorful charts and graphs. Statistics is where a large amount of data is put together in a format that allows the viewer to understand it better. Whenever choosing an experiment that results in statistics, one would start with a hypothesis, or idea. This gives the entire process a purpose. The function of statistics appears for various reasons. When there is a large amount of data, it organizes it so that a viewer and/or a presenter can comprehend or present it easier. A way that it is organized is through charts and graphs, which shows the clarity. Another function is to show comparisons between two or more clumps of data. Statistics helps in forecasting trends and tendencies. Statistical techniques...
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...Descriptive and Inferential Statistics PSY/315 Statistical Reasoning in Psychology September 21, 2013 Dr. Nancy Walker Descriptive and Inferential Statistics Statistics is “a branch of mathematics that focuses on the organization, analysis, and interpretation of a group of numbers” (Aron, Aron, & Coups, 2009, p. 2). However, just the mention of statistics makes people nervous, although when properly understood, many of the questions statistics tries to answer are very provocative and challenging. Statistics are a collection of information and, data that helps test the theory something is happening or will happen again. The functions of statistics are there to help researchers have a better understanding of a phenomenon. Statistics can be used when looking for the truth, if you have ever had a hunch about something, was it confirmed? Yes the hunch was confirmed. Statistics help researchers with data by using math and working with a group of numbers. Statistics studies variables, characteristics that have different values, values, possible number that a score can have, and score one person value of a variable (Aron, Aron, & Coups, 2009). Descriptive and inferential statistics are to evaluate results and enable one to make a conclusion. Descriptive statistics are a way to describe data (Laird Statistics, 2013), as well as to “summarize and describe a group of numbers from a research study,” whereas, inferential statistics are used to “draw conclusions and...
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...Presenting – BIMS, Inc. Syed Dilwar QNT/351, June 01, 2015 Question 5: Descriptive Statistics: Your supervisor treated you fairly. Finding Data |Descriptive statistics | | | | | | | | | | | | | | | | | |Q5 | | | | | |cumulative | | | lower | |upper |midpoint |width | frequency |percent | frequency |percent | | |1 |< |2 |2 |1 |12 |15.4 |12 |15.4 | | |2 |< |3 |3 |1 |18 |23.1 |30 |38.5 | | |3 |< |4 |4 |1 |15 |19.2 |45 |57.7 | | |4 |< |5 |5 |1 |15 |19.2 |60 |76.9 | | |5 |< |6 |5 |1 |18 |23.1 |78 |100.0 | | | | | | | | | | | | | | | | | | |78 |100.0 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |Descriptive Analysis Based on above survey question, the intention of descriptive analysis is to provide a clear understanding by use of graphical and numerical result to visualize unique trends of statistic data set....
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...Week 3 Team A BIMS Summarizing and Presenting Data QNT/351 Quantitative Analysis for Business June 2, 2014 Summarizing and Presenting Data In both employee surveys, BIMS used all three levels of measurement to analyze the data collected. In reviewing the findings from the employee survey, the ultimate goal was to get the overall census of the employees on the survey questions. These survey questions were engineered to evaluate the satisfaction level of the employees at BIMS and to reveal the underlying issues and continuous concerns that were causing the high turnover and low morale at BIMS. The interval level of measurement was used to display the employee’s length of employment and a numeric code was used to describe the nominal, ordinal and interval data. Descriptive statistics was used to show the mean, median, mode and central tendency of the data. An analysis of each survey question was broken down, and the interpretation displayed on tables, charts and graphs. These graphs give an overall visual description of the answers to each question. After all the data had been analyzed, displayed, and interpreted, the outcome shows that BIMS was experiencing high turnover due to low pay and lack of communication within the organization. Descriptive Analysis The intention of descriptive analysis is to provide a clear understanding through the use of graphical and numerical visual of the patterns and unique trends in the data set of interest...
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...to reveal the problems within the workforce that BIMS needs to identify and solve the issues of low morale and high turnover with the organization. This report will analyze B survey, explain the results, and provide a recommendation for the problems uncovered the analysis of BIMS workforce. This report will define statistics and introduce how to analyze and interpret data. The case study used in this report is BIMS LLC, a cleaning, and housekeeping company. This report will present how number data and graphing is used in analyzing data. This report will present an explicit hypothesis. This report will conclude with precise resolutions that will assist the company to move onward to a superior company. Statistics is the science of accumulating and assessing numerical evidence in an enormous measure, especially for the determination of reducing proportions in total from those in a descriptive sample. There are two types of statistics, and one is called descriptive and the other inferential. Descriptive statistics is a technique used to organize, summarize, display facts in a useful manner. Inferential statistics is the procedure used to measure assets of a population on the basis of a model. The description the part that statistics plays in the decision-making process in business is critical. In business, the proposal has statistics to display either how the business will grow or how it will not sustain its profit. Statistics is desired to build assurance in the product or in...
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...Data Collection: Ballard Integrated Managed Services, Inc. QNT/351 Data Collection: Ballard Integrated Managed Services, Inc. Overview Ballard Integrated Managed Services, Inc. (BIMS) is a company that provides housekeeping and foodservices to large corporations and businesses. BIMS employs a total of 452 employees, including full-time and part-time workers as well as upper management employees. The average turnover rate for BIMS is typically 55 to 60%. During the past four months the turnover rate has increased to over 64%. Despite the efforts to get to the root of the issue causing the high turnover rate, management at BIMS has been unsuccessful. The morale is low at BIMS, and there has been an increase in the use of sick leave. The performance of workers has become inadequate, which has caused a number of complaints from clients. Data Collection Instrument A survey instrument was created in an attempt to allow the workers to express their views about their individual experiences at BIMS. The survey begins by asking questions about the employee’s feelings toward his or her position and the relationship he or she has with his or her boss. The survey also includes demographic questions that identifies the division they are assigned to and how long they have been employed. As the consulting group one can expect to find that the increase in turnover to be directly...
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...BIMS Data Collection Jesse Gillen, Melroy Hyman, Joseph Boots, Michael Richards, Megan Hudspeth QNT/351 February 10th, 2015 Mohammad Sharifzadeh, Ph.D BIMS Research Analysis Introduction This report and the two studies conducted within it are to determine the reason for the increased turnover rate at Ballard Integrated Management Systems, Inc.. This report contains how the studies were conducted, the information that was gathered, interpretations of the data and recommendations for management. Study I Overview Ballard Integrated Management Systems, Inc. (BIMS) is experiencing an increased turnover rate with no clear answer why this is happening. The purpose of this study is to investigate why the turnover rate at BIMS has increased. The question that the research is attempting to answer is: What are the factors that may be contributing to the increased turnover rate in each region? Hypothesis Our hypothesis is that each region is going to show a spike of negative feedback to a specific problem. For example, employees working in the hospitality division may show more displeasure for their supervisor than the employees working in the food service division. This spike may indicate the reason for the increased turnover rate. BIMS One of the problems BIMS faces at its Douglas Medical Center site is a 4 percent increase in employee turnover. The root cause of the increased turnover rate has not yet been determined, and the exit interviews have been unsuccessful...
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...QNT 351 August 27, 2014 Henry Jacobs In this report we will revise, summarize, and present our updated data for BIMS case study review. Analyzing the descriptive statistics helps our team breakdown the basic features of quantitative data results from the survey. However, we do not want to risk the chance of distorting our original findings, but use these statistics to analyze the comparisons of answers from employees and departments. Utilizing the central tendency which are three measures: mean, mode, and median allows us to give senior management raw data to make better decisions with. Measures of Variability findings enables us to differentiate results from BIMS surveys which differs from their mean. Our overall recommendation and analysis will be given to senior management within this paper off the current raw data. Data Collected The type of data collected in the survey conducted was quantitative as the data collected in the surveys was expressed numerically. Some of the questions were qualitative however the responses given were provided based on a numerical response. The survey had employees’ answer the question provided based on a scale 1-5, one being very negative and five being very positive. The data collected was later coded and entered into a spreadsheet by Debbie’s office support staff however; some errors existed when keying in the wrong number for the response provided and inputting zeros when the option was not available to employees, zero indicated no...
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... | | | |QNT/351 | | | |Quantitative Analysis for Business | | | |Dr. Jacquelyn B. Frausto | | Copyright © 2013, 2012, 2011 by University of Phoenix. All rights reserved. Course Description This course integrates applied business research and descriptive statistics. Students will learn to apply business research and descriptive statistics in making better business decisions. Other topics include examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings in business and research. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • University policies: You must be logged...
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...Ballard Integrated Managed Service QNT/351 - Quantitative Analysis for Business January 27, 2014 Ryan Wahlstrom The recommendations that should be suggested to Debbie are to not make the questions sounding as if they have already been answered. Debbie has some of the questions set up like they are correct not for an honest answer. The questions need to ask the employee for an honest answer. In questions one through ten Debbie has laid the questions out like they have already been answer when the questions have not been answered. The questions Debbie has chosen to put on the survey indicate that the employees already like their jobs, feel secure in their jobs, they feel the company communicates well, the company is easy to drive to, that all supervisors are treating the employees fairly, and the questions indicate that the employees are paid well and train for their jobs. Question eleven was a good question because it asked why the employee quite it did not state why the employee quite. Most all of the questions that were on the survey for the employees to answer were worded in a way that was very difficult to comprehend and answer accurately. This may have been the main reason as to why the reply rate on the survey came back so low. Also it was stated that there was a huge sum of employees that never turned in a completed survey so that their results could be tallied as well. This may have also been due to the way that the questions were worded on the survey...
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