Unit 1 - Fundamentals of Statistics Awilda Luciano American InterContinental University Abstract This report will show how data is analyzed by using measures of central tendency and will include the mean, median, and mode. These are various ways to report averages. In addition will also discuss the ranges of results and how they are dispersed. This is call variance or standard deviation (Bluman, 2010). Introduction Researchers in the United States and around the world are to study
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Column1 12.02 Column1 11.62 11.69 11.36 12.02 11.52 Mean 11.95866667 11.59 Mean 12.02866667 11.75 Mean 11.889 12.05 Mean 12.08133333 11.75 Standard Error 0.040231323 11.82 Standard Error 0.040231323 11.95 Standard Error 0.037824003 12.18 Standard Error 0.037630183 11.9 Median 11.955 11.97 Median 12.025 12.14 Median 11.92 12.11 Median 12.08 11.64 Mode 11.93 11.71 Mode 12 11.72 Mode 11.95 12.07 Mode 12.02 11.8 Standard Deviation 0.220356034 11.87 Standard Deviation
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Descriptive statistics: Opening Gross: Several central tendency measures (i.e., mean, median, and mode) are calculated for opening gross in the Excel file. As can be seen in the below histogram, opening gross has a right tail (i.e., skewed to the right), so median would be a more appropriate central tendency measure than the mean. The median opening gross was 0.39; 50% of the opening gross values were less than 0.39, 50% were above 0.39. The skewness of opening gross was 3.43 indicating a right
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the household) • Years (the number of years that the customer has lived in the current location) • Credit Balance (the customers current credit card balance on the store's credit card, in $). To have more understand of what the data truly mean, three of individual variable and three of pairing variable are analyzed by using numerical techniques of summarization as and graphical such as stem-leaf diagram, histogram, boxplot, and bar chart on this report. Since a bar graph is useful for
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statistical measures: Mean, Std. Error of Mean, Median, Mode, Std. Deviation, Variance, Skewness, Std. Error of Skewness, Kurtosis, Std. Error of Kurtosis, Range, Percentiles) (15%) Statistics | | Variable 1Life expectancy at birth (years), 2006 | Variable 2 Adult literacy rate (% aged 15 and above), 2006 | Variable 2 Combined gross enrolment ratio in education (%), 2006 | Variable 4GDP per capita (PPP US$), 2006 | N | Valid | 179 | 172 | 179 | 179 | | Missing | 1 | 8 | 1 | 1 | Mean | 67.7291 |
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Student Name: VR Assignment for IBA Business Statistics IBA134 All numerical calculations and graphs/plots should be done using EXCEL. Student Name: Question 1 What type of survey method the researcher could use and why? What sampling method could the researcher use to select his/her sample and why? What are the variables the researcher would consider collecting data for the purpose of the analysis and why? Identify the data types for the variables. a) The survey method recommended
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turnover and low morale at BIMS. The interval level of measurement was used to display the employee’s length of employment and a numeric code was used to describe the nominal, ordinal and interval data. Descriptive statistics was used to show the mean, median, mode and central tendency of the data. An analysis of each survey question was broken down, and the interpretation displayed on tables, charts and graphs. These graphs give an overall visual description of the answers to each question. After all
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Write merits and demerits for various measures of central tendency. The different measures of central tendency include: * Mean * Median * Mode Mean is the sum of sampled values in a set of data divided by the number of items in the data. It is also known as the average. Its merits include: * It is rigidly defined by its formula * It is easy to calculate and simple to understand * It represents all of the given data * It can be treated mathematically so it is
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3.0. Advantages of frequency distribution: 3 4.0. Analysis of returns of Reliance industries limited 4 3.1 Analysis of return of ONGC: 5 3.2 Analysis of return of Bharti Airtel: 6 4. Measurement of central tendency: 6 4.1 Mode: 7 4.2 Median: 7 4.3 Mean 7 5. Conclusion: 8 REFERENCES 10 1.0. Introduction: Generally shares are issued in the primary market and new issued shares are traded in the secondary market. BSE and NSE are two renowned stock exchanges which plays an important
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variables along with an explanation of what the descriptive statistics tell us about the motion picture industry. When comparing the motion picture industry for their opening gross there are several central tendency measurements. The mean is 9.37, median is .3935, and mode is .03. We are comparing 100 different movies. The range of opening gross is 108.43, which is from .01 to 108.44. The standard deviation or SD is 18.87. The middle 50% of the values was skewed. This was determined by using the appropriate
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