(10 points) Find and compare the mean salaries and mean ages of the employees in the sales and advertising departments. Explain to the owner how these values could be misleading.Answer: sales department the mean for the salaries of the sales department is : 42.5 the mean for the ages os the sale department is : 33.8 advertising department the mean for the salaries of the advertising department is: 45.3 the mean for the ages of the advertising department
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CFA Institute. All rights reserved. Published by John Wiley & Sons‚ Inc.‚ Hoboken‚ New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced‚ stored in a retrieval system‚ or transmitted in any form or by any means‚ electronic‚ mechanical‚ photocopying‚ recording‚ scanning‚ or otherwise‚ except as permitted under Section 107 or 108 of the 1976 United States Copyright Act‚ without either the prior written permission of the Publisher‚ or authorization through
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picture industry data first presented in Chapter 2. Developing and interpreting descriptive statistics such as the mean‚ median‚ standard deviation and range are emphasized. Five-number summaries and the identification of outliers are also of interest. Interpretations and insights can vary. We illustrate some below. Descriptive Statistics Variable N Mean SE Mean StDev Range Opening Gross 100 9.38 1.89 18.87 108.43 Total Gross 100 33
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length of labor in this study? Were these appropriate? a. Length of labor for both the control and experimental groups were described with mean and standard deviations. Yes‚ these were appropriate measures of statistics. 3. What other statistics could have been used to describe the length of labor? Provide a rationale for your answer. a. In addition to mean and standard deviations‚ mode could have been used in this study to describe length of labor. It would have given an understanding as to how
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Chapter 1 The Problem and Its Settings This chapter presents the background of the research. In here includes the statement of the problem‚ objectives‚ importance‚ scope and limitation and the definition of terms of the study. Introduction Bakery operations need a very good maintenance management system for efficient running of plant. Maintenance activity needs regular monitoring and records to evaluate problems and their solution. Bakery maintenance has its own features which need attention
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boys and girls. The purpose of calculating a Cohen’s D is to calculate the ideal size for two means‚ it is also used to reveal the difference between means‚ which could be used to in conjunction ANOVA and t test reporting. The d=.90 can be revealed using Cohen’s d by dividing the mean difference in the boy and girl’s self-esteem scores by the standard deviation. In addition to this method‚ mean one less mean two divided by a pooled standard deviation could be used (Lind‚ 2011). Reference:
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Problem 1 Suppose that 6 female and 5 female applicants have been successfully screened for 5 positions. If the 5 positions are filled at random form the 11 finalists‚ what is the probability of selecting: A: 3 females and 2 males? B: 4 females and 1 male? C: 5 females? D: At least 4 females? Problem 2 By examining the past driving records of drivers in a certain city‚ an insurance company has determined the following (empirical) probabilities: [pic] If a driver in this city
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SPSS ASSIGNMENT #1 Read chapters 1‚ 2‚ and be sure to go through the SPSS tutorial (or “run the tutorial”). Then‚ follow these guidelines.S3 To Enter Data: 1. Click on the Variable View tab in the lower left corner of the screen. In the first box under the column Name‚ type the name you want to give the first variable (i.e.‚ “SCORE1” – NOTE: there are no spaces allowed in the variable name). The name of your variable can be up to eight characters (no spaces a permitted by SPSS in the variable
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1.0 Executive summary Different people have their own hobbies and preferences that may influence their purchasing behaviour. Therefore‚ males‚ females have different preferences of buying a car. The purchasing behaviour also influenced by other factors‚ such as age‚ family size and life styles‚ for example‚ different aged children in families. This report will use graphs and statistics to highlight the different preferences between people of purchasing cars. 2.0 Background 2.1 Introduction
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shipment if the claim is true. A random sample of 36 batteries is tested and it is found that the sample mean is 45 hours. If the population of batteries has a standard deviation of 5 hours‚ is it likely that the batteries will be bought? 2. Each student at a university completed a questionnaire concerning the use of advising services. For the entire student body‚ the mean number of visits per year to an advisor was 3.1. It is hypothesized that this would decrease with the
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