MFN 1 Applied Physiology | Guess Papers of IGNOU 
MFN 2 & MFNL 2 Nutritional Biochemistry | Guess Papers of IGNOU 
MFN 3 & MFNL 3 Food Safety and Food Microbiology | Guess Papers of IGNOU 
MFN 4 & MFNL 4 Advance Nutrition | Guess Papers of IGNOU 
MFN 5 & MFNL 5 Clinical and Therapeutic Nutrition | Guess Papers of IGNOU 
MFN 6 & MFNL 6 Public Nutrition | Guess Papers of IGNOU 
MFN 7 & MFNL 7 Entrepreneurship and Food Service Management | Guess Papers of IGNOU 
MFN 8 & MFNL 8 Principles of Food Science | Guess Papers of IGNOU 
MFN 10 Understanding Computer Applications | Guess Papers of IGNOU 
MFN 9 Research Methods and Biostatistics |...
Rs.299
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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Food Nutrition) (MSCDFSM) |
| Products Code | : MSCDFSM-MFN-5.28 |
| HSN Code | : 490110 |
| Language | : English, English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 50 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
Delve into research methods and biostatistics with MFN 9, a crucial subject in IGNOU’s MSCDFSM program. This course equips students with essential skills in designing research studies, collecting and analyzing data, and applying biostatistical methods to draw meaningful conclusions in food science research. Topics include experimental design, sampling techniques, qualitative and quantitative research methods, and statistical analysis tools commonly used in nutrition and food science research. The curriculum emphasizes practical applications through case studies and hands-on exercises, preparing students for conducting research and writing scholarly papers. Key exam topics are extensively covered, facilitating the creation of detailed guess papers spanning 50-60 pages. By mastering MFN 9, students enhance their proficiency in research methodologies and biostatistics, enabling them to excel in exam preparation and confidently tackle important questions related to experimental design and data analysis in food nutrition research.
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