Part A: Requirements: You will propose at least 10 questions and analyze each question based on data
Question:
Part A: Requirements: |
You will propose at least 10 questions and analyze each question based on data collected. Make questions clear and short relating to your topic of interest. Three questions with detail analysis with two different hypothesis (one pro, and other con). Write a reason behind making the choice of the two hypotheses. Perform z-test and t-test on two different questions. Determine coefficient of correlation for third question. Make questions clear and short relating to your topic of interest. A bias-free survey. A statement discussing your choice of sampling technique of the population used in the data set. A list of measurable variables that will, eventually support one of the two hypotheses. Calculation of statistical measures: mean, median, mode, range, interquartile range, variance, standard deviation, z-scores and percentiles A regression that models the relation between two variables. Display of the line of best fit with the method of least squares using two variables from the data set. A comparison of the line of best fit between the least square method and one other technology of your choice(Microsoft Excel, Graphing Calculator) A final report |
Part B: Survey |
A statement of purpose /and or instructions should be the first line of the survey. The survey should include at least one question from a journal survey found in the library or on the Internet. At least thirty different people should be surveyed. Keep the questions short, clear and concise to the purpose. Check for biases, leading and or loaded questions.
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Part C: Checklist |
Is the data you have collected pertinent to your project? |
How valid is the data? What sampling techniques were used to collect the data? Is there possible sampling bias and/or variability? Have you organized the data in a way that facilitates its manipulation and retrieval? Have you computed the measures of one-variable statistics (mean, median, mode, range, interquartile range, variance, standard deviation) where appropriate? Have you included z-scores and percentiles where appropriate? Have you chosen a regression that models the relation between two variables? Have you described the relation between two variables by interpreting the correlation coefficient? Can the normal distribution be applied with the data in your project?
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Part D :Final Report |
Cover page including a title that makes the purpose of the project apparent. A clear statement of the questions to be considered. Questions are clear, fair, short, and bias-free. Include the list of questions that you consider during the preliminary stages of the study. Purpose of study(and survey) Description of procedure. Copies of the surveys conducted along with a blank copy. Presentation of data using tables, charts, graphs Summary statistics. Evidence of the use of technology. Tables created as a result of your survey using a spreadsheet program. Analysis of data including calculations and raw data Raw data. Conclusions. Evaluation of your techniques. Bibliography. |
Statistics for Business Decision Making and Analysis
ISBN: 978-0321890269
2nd edition
Authors: Robert Stine, Dean Foster