Using the BIMS Part I data, Team C presents various descriptive statistics in the forms of frequency distribution table, measures of mean, median, mode, standard deviation, and graphical display of data. The first table is a frequency distribution table of one quantitative question in the BIMS data. Team C finds that the majority of the 78 respondents have between 0 to 20 months service with BIMS. The second highest group has between 40 to 60 months service with BIMS. The lowest frequency of one
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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
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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
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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
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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
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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
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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
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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
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Summarizing and 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
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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
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