Analytical Techniques For Animal Production I

1. Apply experimental designs in animal science research.
2. Perform statistical analysis on experimental data.
3. Interpret measures of central tendency and dispersion.
4. Conduct hypothesis testing using appropriate statistical tests.
5. Apply volumetric and gravimetric methods for chemical analysis.
6. Utilize electrochemical and optical methods in animal science research.

13 weeks, about 44 hours in total. Yours will differ.

1. Week 1Module 1: Introduction

   • Unit 1: General Introduction to Experimental Error · 3 hours

     Define experimental error and its types.. Identify sources of systematic and random errors.. Differentiate between accuracy and precision.. Calculate percent error and percent difference..

2. Week 2Module 1: Introduction

   • Unit 2: Sampling Techniques · 3 hours

     Describe characteristics of a good sample.. Develop a sampling plan considering objectives, consequences, and homogeneity.. Explain representative, probability, and random number sampling.. Differentiate between simple, systematic, and stratified sampling..

3. Week 3Module 1: Introduction

   • Unit 3: Common Experimental Designs in Animal Science · 4 hours

     Define experiment and experimental design.. Explain randomization, replication, and control in experimental design.. Describe Completely Randomized Designs (CRD) and Randomized Complete Block Design.. Understand Factorial and Split Block Designs..

4. Week 4Module 1: Introduction

   • Unit 4: Practical Application of Common Designs in Animal Experiments · 4 hours

     Apply calculations in CRD.. Calculate Analysis of Variance (ANOVA) in RCBD.. Calculate ANOVA from data in Latin Square.. Solve calculations (ANOVA) from data in nested design..

5. Week 5Module 2:

   • Unit 1: Introduction to Statistics · 3 hours

     Define statistics and describe its scope.. Differentiate between descriptive and inferential statistics.. Explain data collection methods and their importance.. Summarize and present data in tabular and graphical formats..

6. Week 6Module 2:

   • Unit 2: Descriptive Statistics · 4 hours

     Calculate mean, median, and mode for ungrouped and grouped data.. Determine range, mean deviation, variance, and standard deviation.. Calculate coefficient of variation and standard error.. Interpret measures of central tendency and dispersion..

7. Week 7Module 2:

   • Unit 3: Probability · 4 hours

     Explain correlation and regression concepts.. Draw and interpret scatter diagrams.. Compute Pearson product moment correlation coefficient.. Perform simple regression analysis..

8. Week 8Module 2:

   • Unit 4: Measures of Relationships · 3 hours

     Define probability and its types.. Explain and compute additive and multiplicative probability laws.. Distinguish between empirical, classical, and subjective probabilities.. Apply Bayes' Theorem..

9. Week 9Module 2:

   • Unit 5: Statistical Tests · 4 hours

     Define hypothesis and its types.. Explain errors in hypothesis testing.. Perform Z-test and T-test for significance.. Differentiate between one-sided and two-sided tests.. Apply F-test and Chi-square distribution..

10. Week 10Module 3:

    • Unit 1: Principle of Volumetric Data Analysis · 3 hours

      Explain the basic principles of volumetric analysis.. List requirements for volumetric treatment of samples.. Describe acid-base, precipitation, and redox titrations.. Identify methods for determining the endpoint in titration..

11. Week 11Module 3:

    • Unit 2: Gravimetric Data Analysis · 3 hours

      Explain the concept of gravimetric analysis.. List types of gravimetric analysis.. Describe precipitation and volatilization gravimetric methods.. Explain the general procedure for gravimetric analysis..

12. Week 12Module 3:

    • Unit 3: Thermometric Data Analysis · 3 hours

      Define thermometric analysis.. List different types of thermometric analysis.. Explain the principles of thermometry.. Discuss advantages and disadvantages of thermometric analysis..

13. Week 13Module 3:

    • Unit 4: Electrochemical Analysis · 3 hours

      Explain the concept of electrochemical analysis.. List and differentiate electrochemical methods.. Apply electrochemical principles to animal science research.. Describe potentiometric, voltametric, coulometric, and conductometric methods..