graph is skewed right. Income has a lower value of kurtosis which indicates a lower‚ less distinct peak. The following table shows the numerical summary of Income: Total Variable Count N N* CumN Percent CumPct Mean SE Mean TrMean StDev Income ($1‚000) 50 50 0 50 100 100 46.02 1.96 45.70 13.88 Sum of Variable Variance CoefVar Sum Squares Minimum Q1 Median Q3 Income
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levels and that there is interaction. H0: µinside = µoutside Ha: µinside ≠ µoutside H0: µlow = µmedium = µhigh Ha: µlow ≠ µmedium ≠ µhigh Analysis 1. All Sales | Inside | | Outside | | | | | | | | Mean | 64925 | Mean | 59289 | Mean | 70562 | Standard Error | 989 | Standard Error | 1115 | Standard Error | 1276 | Median | 61490 | Median | 56407 | Median | 69000 | Mode | 53464 | Mode | 53464 | Mode | #N/A | Standard Deviation | 10839 | Standard Deviation |
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recessive traits shown here. I shared the same chin shape‚ earlobes and amount of hair on knuckles. I didn’t exhibit any trait that was not exhibited in my parents. If an offspring exhibited a recessive trait that neither parent exhibited‚ it would mean that both parents carried it. I was surprised that none of the 20 people had attatched earlobes. Yes‚ It is possible that a recessive trait
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RESEARCH ARTICLE ELECTRONIC GAMES AND THEIR IMPACT ON ACADEMIC ACHIEVEMENT OF SCHOOL GOING CHILDREN Gunjarika Ranka and Madhu Jain University of Rajasthan‚ Jaipur ABSTRACT The study was carried out to examine the impact of electronic games on personality of male and female school going children. A sample of 300 children (100 non users‚ 100 low users and 100 heavy users with equal number of boys and girls‚ 50 in each group ) within the age range of 10-14 years were drawn from reputed
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Introduction The below information contains the factors that influences absenteeism in the workplace that we are dealing with in this practical. The regression standard format that we will also provide with these factors helps us to understand technically these factors and to make a clear meaning of these factors economically. The randomly selected sample of 100 (one hundred) companies are going to help us to save time and money to actually use it as an estimate for the entire companies (population)
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location)‚ and credit balance (customers current credit card balance on the store’s credit card). Discuss your 1st variable‚ using graphical‚ numerical summary and interpretation Numerical Summary of Credit Balance are as follows: Mean: 3970.5 Minimum: 1864 Standard Deviation: 931.9 Q1: 3109.3 Variance: 868429.8 Median: 4090 Skew: -0.15043 Q3: 4747.5 N: 50 Max: 5678 The histogram above shows the Credit Balance variable of the 50 customers surveyed. The histogram
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utilization‚ fewer out of spec parts‚ and less scrap and rework. As a consequence‚ the end product is of higher quality‚ customers are happier‚ costs are lower‚ and profits are up. Keywords: Average or Mean (X-bar) ‚ Range (R)‚ Standard Deviation or Sigma (6)‚ Process Spread (P.S.)‚ Cp‚ Process Mean‚ Variance‚ Skew ness‚ Kurtosis. Features In statistical process control‚ one or more control variables of the observed characteristic are selected and determined by taking samples from the process at
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CREATION AND CATEGORIZATION OF KNOWLEDGE IN AUTOMOTIVE COMPONENTS SMEs IN INDIA * RAJESH K PILLANIA Purpose The purpose of the research work is to specifically understand the concept of knowledge management‚ its difference in large enterprises and small enterprises‚ 7 different categories of knowledge (knowledge about customers‚ about company’s products/services‚ intellectual property rights management‚ about markets‚ about competition‚ about processes and methods‚ about regulatory environment)
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and summarize the research question‚ the subjects‚ and the variable(s) of interest. What statistical analysis was used and what were the results? Were there any statistically significant differences? What does it mean for the results to be statistically significant? What does this mean specifically for the differences assessed in this study? Cite your study using APA format as outlined in the Ashford Writing Center. Guided Response: Respond to at least two of your classmates. Consider the following
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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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