|[pic] |Syllabus |
| |School of Business |
| |QNT/561 Version 5 |
| |Applied Business Research and Statistics |
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Course Description
This course prepares students to
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2 of Statistics for Business and Economics | | |
| |2.37, 2.38, 2.44, 2.46, 2.54, 2.64, 2.68, 2.79, 2.85, 2.89, 2.93, 2.94, 2.106, and 2.108 | | |
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| |Ch. 4 of Statistics for Business and Economics | | |
| |4.1, 4.12, 4.13, 4.21, 4.79, 4.80, 4.81, 4.89, 4.91, 4.106, and 4.124 | | |
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| |Make a screen-print of the summary page results, paste in an MS Word document and post in the | | |
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THE UNIVERSITY OF NEW SOUTH WALES SCHOOL OF ECONOMICS ECON1202/2291 QUANTITATIVE MEHODS A FINAL EXAMINATION SESSION 2 2008
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link.
• Provide at least two examples or problem situations in which statistics was used or could be used.
5. Give the standard deviation for the mean and median column. Compare these and be sure to identify which has the least variability?
Their scores are: 55, 47, 62, 27, 50, 49, 66, 53, 50, 44, 63, 59.
Please enter the numbers here so that I know that you know how to read the SPSS output. Please paste your SPSS output right here where it belongs.
o 2.37, 2.38, 2.44, 2.46, 2.54, 2.64, 2.68, 2.79, 2.85, 2.89, 2.93, 2.94, 2.106, and 2.108
Since the maximum value of the predictor variable (calls) is used to formulate the given regression model is 201.00, which is less than 300, we cannot use the given regression model to accurately estimate the weekly sales for weekly call of 300. So we can’t say anything about the weekly sales when weekly calls are 300.
Nothing Experiment 8 0.173 0.002 0.026 0.128 Experiment 9 0.226 0 0.047 0.162 Part B
2 3 175 0.080 951 0.43 195 245 658 335 170 3.4 0.9 57.0 9.2 0.21 61.4 1,718 530 1.1 2,520 92,000 583 14 22 6 19 15 927 765 12,280 22
2.34 0.58 71.03 5.31 112.33 51.17 118.39 121.45 6.66 1.23 0.70 0.61 6.87 1.67 42.37% 18.46% 10.25% 14.81% 41.85%
The box plot of the appendix of 11, 12 and 13 represents the results on lower (bottom) and higher (top) quartile. The band located inside the box and is always the second quartile (the median). Moreover, the box plot has two lines where are extending vertically on the top and on the bottom of the box (whiskers). The top of the upper and lower whiskers shows the upper and lower extreme.
The objective of this chapter is to describe the procedures used in the analysis of the data and present the main findings. It also presents the different tests performed to help choose the appropriate model for the study. The chapter concludes by providing thorough statistical interpretation of the findings.