Assignment No. 2 September 23‚ 2014 Case Study: Motion Picture Industry Course: ‐Statistics Professor: Homayoun Khamooshi‚ Ph. D. Team Members: Selena El Hajji Cristina Brain Vizcarra Mandatory Integrity Document for MSPM Team Projects Cristina Brain Vizcarra: “I am satisfied that the contribution made by each team member warrants a full share of the credit for this work‚ and I affirm that I have completed this assignment in accordance with the Code of Academic Integrity
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Charismatic Condition Mean 4.204081633 Standard Error 0.097501055 Median 4.2 Mode 4.8 Standard Deviation 0.682507382 Sample Variance 0.465816327 Kurtosis 5.335286065 Skewness -1.916441174 Range 3.5 Minimum 1.5 Maximum 5 Sum 206 Count 49 Confidence Level(95.0%) 0.196039006 In both the Charismatic and the punitive condition data sets there were 49 people surveyed. We know this because we were able to use descriptive statistics to show the count and that shows the number of people
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SSLA‚ 23‚ 41–69. Printed in the United States of America. COMPARING THE L1 AND L2 MENTAL LEXICON A Depth of Individual Word Knowledge Model Brent Wolter Hokkaido University This paper explores the possibility that‚ contrary to the findings of past studies‚ the L1 and L2 mental lexicon may in fact be structurally similar‚ with depth of individual word knowledge determining a given word’s degree of integration into the mental lexicon. The paper begins by reviewing the body of evidence
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Singapore - STAT1060 Business Decision Making Assignment 1 Tutorial Group: B3 Tutor: Alex Soon Complete by: Liu Yilin & Liao Jing Question 1 (8 marks) A small greengrocery is very popular with the local residents. Honey is one of the commodities that customers find particularly appealing and accordingly its sales are high. However the supplier of a locally produced honey “Bees Knees” is questioning why sales of this brand at the greengrocery are so poor when compared
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measure of location illustrates the location of data samples from a point of central tendency or the measure of the samples‚ grouped together‚ and there position spread across intervals. Locational measures include the mean‚ the median‚ the mode‚ percentiles and quartiles. The mean is the average of the date set. The median represents the middle of the group in ascending order. The mode can be various numbers in which similar numbers appear most frequently in the sample; there can be more than
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significant differences in the distribution of undergraduate majors or in the distribution of students in terms of academic progress when comparing the two groups. Technology (N = 329) Female Male Student gender 40% 60% No Technology (N = 155) Female Male 49% 51% A test of proportions suggested no significant difference in the proportion of female to male students when comparing the two groups included in this study. The impact of classroom technology‚ Page 13
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Student Registration number N0433493 Name Harpreet Singh Dulai Introduction Statistics are collection of samples from raw data‚ which enable users to understand and interpret quantitative data in order to draw up conclusions and create future predictions. (Valerie J.Easton & John H.McColl) One beneficial programme has been created in order to simplify sampling through large amounts of data. This can be founded through computer packages. The computer package that has been implemented is SPSS
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Running head: Situational Influences on Purchasing Behavior Situational Influences on Purchasing Behavior Abstract There was an investigation in an attempt to understand what situational influences affect purchasing behaviors of consumers. Fifty subjects were asked to complete a survey in determining what attributes affect the decision to purchase a product. The effect of purchase was based on three different times of day: morning‚ afternoon
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economy at today’s state. We believed that it’s important to understand and know what buyers are looking for and what’s important to them for the sake of the economy. The histogram shows the median in home buyers where the frequency is high. This means that at the frequency of 11 home buyers are willing to spend 233550 on a home‚ although the chart does not show the exact things home buyers are looking for when purchasing a home it’s obvious at 233550‚ whatever comes with a home in such areas‚ this
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Executive summary The following report aims to analyse and interpret the data set of 200 records regarding the CCResort. The given information includes booking identification number‚ income‚ number of people per booking‚ length of stay‚ age and overall expenditure. From the booking ID it can be assumed that the selection of data is random‚ however as it is only partial information and not the population‚ the period of time in which the data is selected from would affect the end results of analysis
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