As can be seen in the graphs the highest frequency of employees lay around the age of mid thirties. The highest frequency is of the age thirty seven.
The relationship between age and number of hours worked is strong. This…
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The value of correlation coefficient is positive. Therefore it can be said that as age increases so does income.
The level of dissatisfaction is significantly higher in women as compared to men. There were 14 ‘extremely dissatisfied’ responses from women as compared to only 6 from men. On the other hand the positive responses were 117 as compared to only 89 from women. However almost 21 males very a little dissatisfied as compared to only 8 from women.
a. Predictors: (Constant), How many promotions, if any, have you received while working for your present employer?, How many traumatic events did you experience last year?, How many hours did you work last week, at all jobs?, How many years of school have you completed?, In your household, how many family members, including yourself, were employed last year?, Age, Your pre-tax income last year ($000), Total family pre-tax income last year ($000), Since you were 16 years old, about how many years have you worked for full-time pay?
The age of employees at the company varies between 69 and 18. This is a very large level of diversity. This diversity can be help in creating creativity but also can be a tough task to manage such a diverse workforce. The major workforce has their age in the mid thirties. The age of employees can affect their output. Therefore it was important to analyze the affect of employee age on different variables. The analysis revealed that as the age of employees was increases their number of hours worked were becoming less. This means that older people were working less as compared to the younger workforce. This can be due to the higher posts of senior employees and managerial roles. The increase in pretax income with an increase in age also supports this theory. As the employees get older they become senior and therefore have a better pay scale and have to put in fewer hours. The age however was totally unrelated to union membership. Therefore we can that there was an
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Hence, a bearish or bullish behaviour displayed by a handful might take a much heavier form thus inducing the stock prices to rise or fall considerably. The present paper assesses the fluctuations that feature the stocks issued by Deutsche Bank (Yahoo Finance, 2011, ‘Deutsche Bank AG (DB)’).
The histograms were rendered using the graphing function of Microsoft Excel (2003). Figure 1.1. Histogram for the First and Second Quarter Average Order Size Combined Figure 1.1. Relative Frequency Distribution for the First and Second Quarter Average Order Size Combined Order Size Intervals Frequency Relative Frequency 0-20 0 0.00 20-40 0 0.00 40-60 0 0.00 60-80 0 0.00 80-100 3 0.02 100-120 18 0.14 120-140 41 0.33 140-160 38 0.30 160-180 15 0.12 180-200 7 0.06 200-220 3 0.02 220-240 1 0.01 126 1 The histogram and the relative frequency distributions, separately for the first and second quarter are shown below: Figure 1.2.
Relevant tools from statistics and probability were applied to extract useful information from a vast data set, to identify trends and to take business decisions. Analysis of average order numbers and order size has provided the information that there is consistent increase in the number of daily orders and average daily order size over consequent quarters.
The industry consists of three profit centers based in Florida, Arizona and Pennsylvania whose operations are being examined separately. 3 Introduction 3 Methods 3 Results, Conclusions and Recommendations 4 Answer to Question 1 4 Answer to Question 2 8 Answer to Question 3 10 Answer to Question 4 13 Answer to Question 5 14 Answer to Question 6 15 Answer to Question 7 16 Answer to Question 8 17 General Discussion 18 References 19 Bibliography 19 Anderson, D.
The objective of this report is to analyze the available data for Handy Hydraulics and find suitable strategies. Various statistical techniques such as analysis of the frequency distributions, analysis of measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation, interquartile ranges), and probability analysis.
The company has been doing a fairly good business since its inception. The turmoil period in between its journey ended up in change of management. The new management took some beneficial decisions to take the company out of the loss situation. The steady performance of the company compelled the management to consider new options.
It is a company that has been growing at a stable rate over the past few years. The ownership of the company is however concerned that the company takes its decisions on the basis of past experience and gut feeling only. Therefore they hire a professional business analyst who can formally analyze the business process within the industry.
The company has been making decisions over time based on gut feelings and has recently decided to employ a statistician and analyst to analyse the data the company has collected in the past year. They have decided to focus on things like average daily order size for the last two quarters, total number of orders per day for all four quarters and the operations at the most recently opened profit centre.
The data were collected comprised of face to face interview, internet survey and continuous monitoring of the internet survey. The research question is important in the aspect of changing of people behaviour with regard to politics. The focus is mainly on
The author states that in conducting the regression analysis, the intention is to predict the value of a dependent variable if the values of predictor variables are known. The problem given seeks to determine whether or not variations in total sales among firms may be determined based on firm ownership, assets, management score, and weekly labor hours
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