IGNOU MZO 006 SOLVED ASSIGNMENT

Ques 1.

Define the term "arithmetic mean". Discuss how to calculate it for ungrouped data using the direct method.

Ques 2.

Define the term "arithmetic mean". Discuss how to calculate it for ungrouped data using the direct method.

Ques 3.

What is dispersion, and explain its importance in statistical analysis.

Ques 4.

Geometric mean and Harmonic mean

Ques 5.

Geometric mean and Harmonic mean

Ques 6.

Positive Correlation and Negative Correlation

Ques 7.

 Global alignment and Local alignment

Ques 8.

 Global alignment and Local alignment

Ques 9.

 PAM and BLOSUM

Ques 10.

 PAM and BLOSUM

Ques 11.

 Importance of hypothesis testing

Ques 12.

 Poisson distribution

Ques 13.

Artificial Neural Network for protein prediction

Ques 14.

 Significance of sequence alignment

Ques 15.

Explain the importance of nucleotide databases in molecular biology and bioinformatics.

Ques 16.

Explain the importance of nucleotide databases in molecular biology and bioinformatics.

Ques 17.

What is the FASTA file format, and how is it structured?

Ques 18.

What is the FASTA file format, and how is it structured?

Ques 19.

 Elaborate on the principles of classification, which include class limits, class intervals, range and class frequency and explain how these things are applied in biostatistical data analysis.

Ques 20.

Explain how the C/C++ programming languages are used in BLAST and SAMTools.

Ques 21.

 Discuss the significance of RNA secondary structure prediction and compare the tools Mfold and RNAfold.

Ques 22.

 Discuss the significance of RNA secondary structure prediction and compare the tools Mfold and RNAfold.

Ques 23.

What is the p-value, and how is it used in hypothesis testing?

Ques 24.

What is the p-value, and how is it used in hypothesis testing?

Ques 25.

Define the term "Binomial distribution". Discuss with a suitable example.

Ques 26.

Discuss the advantages and disadvantages of Spearman's rank correlation coefficient.

Ques 27.

Discuss the merits and demerits of standard deviation compared to variance.

Ques 28.

Discuss the merits and demerits of standard deviation compared to variance.

Ques 29.

Explain the steps involved in bootstrap analysis with an example.

Ques 30.

 Describe the steps for predicting ẞ-sheets using the Chou-Fasman method.

Ques 31.

 What is the principle of microarray? Describe the steps involved in designing a microarray, including probe design, array fabrication, sample labeling, hybridisation and scanning.

Ques 32.

Define the term "arithmetic mean". Discuss how to calculate it for ungrouped data using the direct method.

Ques 33.

Define the term "arithmetic mean". Discuss how to calculate it for ungrouped data using the direct method.

Ques 34.

What is dispersion, and explain its importance in statistical analysis.

Ques 35.

Geometric mean and Harmonic mean

Ques 36.

Geometric mean and Harmonic mean

Ques 37.

Positive Correlation and Negative Correlation

Ques 38.

 Global alignment and Local alignment

Ques 39.

 Global alignment and Local alignment

Ques 40.

 PAM and BLOSUM

Ques 41.

 PAM and BLOSUM

Ques 42.

 Importance of hypothesis testing

Ques 43.

 Poisson distribution

Ques 44.

Artificial Neural Network for protein prediction

Ques 45.

 Significance of sequence alignment

Ques 46.

Explain the importance of nucleotide databases in molecular biology and bioinformatics.

Ques 47.

Explain the importance of nucleotide databases in molecular biology and bioinformatics.

Ques 48.

What is the FASTA file format, and how is it structured?

Ques 49.

What is the FASTA file format, and how is it structured?

Ques 50.

 Elaborate on the principles of classification, which include class limits, class intervals, range and class frequency and explain how these things are applied in biostatistical data analysis.

Ques 51.

Explain how the C/C++ programming languages are used in BLAST and SAMTools.

Ques 52.

 Discuss the significance of RNA secondary structure prediction and compare the tools Mfold and RNAfold.

Ques 53.

 Discuss the significance of RNA secondary structure prediction and compare the tools Mfold and RNAfold.

Ques 54.

What is the p-value, and how is it used in hypothesis testing?

Ques 55.

What is the p-value, and how is it used in hypothesis testing?

Ques 56.

Define the term "Binomial distribution". Discuss with a suitable example.

Ques 57.

Discuss the advantages and disadvantages of Spearman's rank correlation coefficient.

Ques 58.

Discuss the merits and demerits of standard deviation compared to variance.

Ques 59.

Discuss the merits and demerits of standard deviation compared to variance.

Ques 60.

Explain the steps involved in bootstrap analysis with an example.

Ques 61.

 Describe the steps for predicting ẞ-sheets using the Chou-Fasman method.

Ques 62.

 What is the principle of microarray? Describe the steps involved in designing a microarray, including probe design, array fabrication, sample labeling, hybridisation and scanning.

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