Table 4.2 System suitability results for Lamivudine, Zidovudine and Nevirapine Parameters Lamivudine Zidovudine Nevirapine Retention time 2.327 2.864 5.608 Area 212473 338930 228426 USP Plate count 2715.09 3350.07 4979.51 USP Tailing 1.38 1.32 1.18 4.3.1.2 Linearity A linear correlation coefficient factor was obtained between the concentrations of Lamivudine, Zidovudine and Nevirapine versus the peak area. The calibration curves were linear for concentrations between 15-150 µg/mL. The linearity…
from the lowest to the highest score. The data is split into 5 groups, Group 1 and 5 containing the lowest-ranked and highest-ranked road handling scores, respectively. Group 1 2 3 4 5 Median 4.58 4.585 4.455 4.475 4.51 Mean 4.566 4.5775 4.477 4.437 4.46 The lower median and mean practicality values for Groups 3, 4 and 5, compared to Groups 1 and 2, suggests that cars with better road handling tended to be less practical, though the curvilinear relationship illustrated…
determine if the mean diameters of hyperparasatized galls and not hyperparasatized galls, and the mean diameters of the galls preyed upon by birds and not preyed upon by birds, were significantly different. A t-test was also used to determine whether the mean weights of hyperparasatized galls and not hyperparasatized galls, and the mean weights of the galls preyed upon by birds and not preyed upon by birds, were significantly different. If the p-value was less than 0.05, the means were…
The first part of the experiment required one to trace the light rays going through a converging and diverging lenses. By setting up the light source towards the end of the paper and placing the lenses about 5 cm in front of the light the focal distances were found to be 14 cm for the converging lens and -5.5cm for the diverging lens. These focal distances theoretically make since because the converging lens causes the light rays to combine in front of the lens making it positive and the…
from 9 5 down to 82. After four weeks of interventions the scores of the group dropped slightly for the stress levels and more significantly for the number of fights. After the intervention the mean for the fights was cut in half down to 6; while, the stress level of the group only dropped slightly to a mean of 83. After the intervention still no extreme gap in the number of fights or stress levels were notices, as the number of fights ranged from 7 to 3, with a stress level ranging from 92…
Kurtosis is a statistical measure used to describe the distribution of observed data around the mean. Descriptive statistics do not enable us to make conclusions beyond the data we have analysed or reach conclusions regarding any inference we might have made. Measures of variability are another important technique used in descriptive statistics. These…
For the Coach group and Supporter group, a 3-second mean hug duration is plausible since this value falls within the 95% confidence interval. Since it falls between the two limits, there is a 95% chance of the length hug occurring in each relationship group. Coach/Athlete: Lower limit= 3.77-2(.451)=2.87…
The preeminent design of the paper helicopter experiment would comprise of the best mean and standard deviation of the overall measured data. An in depth comparison of the mean value and the standard deviation of each variable will be discussed in relation to a measure suitable for a longer flight time and a more accurate landing. These variables will be discussed relevant to the data and information gathered from our experiment during testing. The ratio of each helicopter will be discussed in…
dyes are always the same (Davis et al, 2009). This means that if the dyes used in Skittles Sweets and Sours and Crayola markers of the same color were identical, their Rf values would have to be nearly the same. We calculated five Rf values for each dye that was found after performing the chromatography. The Rf values for the dyes of the blue Skittles are .498, .488, .542, .526, and .441. The statistics for these numbers are .499 for the mean, .498 for the median, no mode, .0389 for the…
time series. It can affect the variance of our estimators, and cause us to incorrectly estimate our true mean, Y ̅. To properly study and analyze a covariance stationary time series, we need to know something about the correlation/covariance structure. Several methods exist for dealing with serial correlation. Here, we will deal exclusively with batch means, replication/deletion, and the Mean Squared Error Reduction (MSER) technique. The goal of these methods is to produce valid confidence…