MSAS_Alumni_Survey_Results

MSAS_Alumni_Survey_Results - MSAS Alumni Survey Results...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
MSAS Alumni Survey Results Summer 2005 Page 1 of 11 Alumni Satisfaction - MSAS Program Percent of Responses No. Resp. 0 1 2 3 4 Avg. Resp. How would you rate the overall quality of teaching in your degree program? 33 0 0 0 36.36 63.64 3.64 How would you rate the overall quality of the courses in your degree program? 33 0 0 0 36.36 63.64 3.64 How would you rate the overall quality of faculty advising in your degree program? 33 0 0 9.09 48.48 42.42 3.33 How would you rate your overall BGSU experience in the MSAS program? 33 0 0 0 30.30 69.70 3.70 For each question, a response of 0-4 or NA is required. 0 indicates Poor and 4 indicates Excellent . The Table shows the percent of responses for each value. Avg. indicates weighted average response
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Summer 2005 Page 2 of 11 Alumni Assessment Survey - MSAS Program Percent of Responses No. Resp. 0 1 2 3 4 Avg. Formulate the appropriate models for problems involving applications of regression. 31 0 0 3.23 35.48 61.29 3.58 Correctly analyze data arising from applications of regression 31 0 0 6.45 19.35 74.19 3.68 Explain the results of regression analysis in non-technical terms 31 0 0 0 35.48 64.52 3.65 Formulate the appropriate models for problems involving design of experiments 31 0 0 3.23 64.52 32.26 3.29 Correctly analyze data arising from applications of design of experiments 31 0 0 3.23 58.06 38.71 3.35 Explain the results of an analysis of variance in non-technical terms 31 0 0 3.23 54.84 41.94 3.39 Formulate the appropriate models for problems involving sample design 31 0 3.23 12.90 45.16 38.71 3.19 Correctly analyze data arising from applications of sample design 31 0 3.23 19.35 25.81 51.61 3.26 Explain the results of sample designs in non-technical terms 31 0 6.45 12.90 38.71 41.94 3.16 Correctly use popular statistical software (e.g. SAS, MINITAB, SPSS) to perform the appropriate analysis of problems 31 0 3.23 19.35 16.13 61.29 3.35 Understand the foundations of probability theory related to the chosen method of analysis 31 0 3.23 22.58 35.48 38.71 3.10 Understand the theoretical aspects of statistical procedures 31 0 6.45 25.81 35.48 32.26 2.94 Ability to compare the goodness of competing statistical procedures 31 0 0 19.35 54.84 25.81 3.06 Understand the limitations inherent in methods of analysis selected 31 0 0 12.90 64.52 22.58 3.10 Carry out the steps involved in the ‘inference cycle’ of the scientific method 31 0 0 16.13 54.84 29.03 3.13 Design and analyze individual projects appropriate to corresponding courses. 31 0 0 9.68 35.48 54.84 3.45 Document project results in non-technical terms. 31 0 3.23 6.45 45.16 45.16 3.32 For each question, a response of 0-4 or NA is required. 0 indicates Poor and 4 indicates Excellent . The Table shows the percent of responses for each value.
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 02/29/2012 for the course ECON 4020 taught by Professor Ellen during the Spring '12 term at Bowling Green.

Page1 / 11

MSAS_Alumni_Survey_Results - MSAS Alumni Survey Results...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online