Data Types for Statistical Analysis: Descriptive Data Analysis:
Histogram (with Normal curve):
Histogram for normal curve for assay 6 month
Histogram of acceptable difference
Conclusion : Based on the description of the histogram with a normal curve : The histogram represents the distribution of assay at zero time from 94.2 % to 106.7% The mean assay is 98.96 % , and the standard deviation is 2.38 , indicating a relatively tight distribution around the mean. The histogram represents the distribution of assay after 6 months from 92.92 % to 105.1% The mean assay is 98.49 % , and the standard deviation is 2.583 , indicating a relatively tight distribution around the mean. The mean acceptable difference is 0.4702 , and the standard deviation is 2.146 , indicating a relatively tight distribution around the mean. The normal curve suggests that the data is approximately normally distributed. The number of observations (N) is 42, which is a reasonable sample size for statistical analysis.
Boxplot:
Conclusion : Based on the statistical test results you’ve provided: Overall, the data appears to be well-distributed with a good fit to the normal curve, suggesting that the process being measured is under control.
Hypothesis test: Two-Sample T-Test and CI: Two-Sample T-Test and CI:
Conclusion: Based on the statistical data provided for the hypothesis test: T-Value : The T-Value is 0.87, which is not significantly high. P-Value : The P-Value is 0.194, which is more than any common alpha level (e.g., 0.05, 0.01). There is strong statistical evidence to accept the null hypothesis.
Presented by : Group A Dr. Mohamed Ahmed Ali : 23128502 Dr . Hazem Labeib : 23128509 Dr. Mahmoud Ashraf Ibrahim : 23128505