1. Given the following data, compute the mean marks and standard deviation
Class       0-25   25-50  50-75   75-100
Frequency 30 50 80 40
2. Explain the importance and application of Linear Regression in drug stability studies.
3. Perform the one-way ANOVA for the data of testing of a new drug on four patients, data is given below:
Clinic 1 2 3 4 5 6 7
Patient 1 5 7 12 9 11 6 10
Patient 2 3 7 10 8 9 9 10
Patient 3 6 7 5 7 13 9 7
Patient 4 8 11 6 5 7 12 9
1.
Mean "= \\frac{\\sum fx}{\\sum f} = \\frac{10750}{200} = 53.75"
Standard deviation "= \\sqrt{ \\frac{\\sum fx^2}{\\sum f} - (\\frac{\\sum fx}{\\sum f})^2 }"
"= \\sqrt{ \\frac{693750}{200} - (\\frac{10750}{200})^2 } \\\\\n\n= \\sqrt{ \\frac{693750}{200} - (\\frac{10750}{200})^2 } \\\\\n\n= \\sqrt{ 3468.75 -2889.0625 } \\\\\n\n= 24.076"
2. Evaluation of stability data of drug substances and products is required to perform a statistical extrapolation of a shelf-life of a drug product or a retest period for a drug substance is based heavily on whether data exhibit a change-over-time and/or variability. We can apply simple statistical parameters for determining whether sets of stability data from either accelerated or long-term storage programs exhibit a change-over-time and/or variability. These parameters are all derived from a simple linear regression analysis first performed on the stability data.
3.
Comments
Leave a comment