Statistical Analysis of Colored Stones by using Random Sampling Naomi Malary
Lab Report 1
Ecology Lab 312 L-1
October 12, 2009
Introduction
Random Sampling, a method often used by ecologist involves an unpredictable component. In this method, all members of the population have an equal chance of being selected as part of the sample. The results involving random sampling can be categorized as descriptive statistics and inferential statistics (Montague 2009).Descriptive statistics includes simplified calculations of a given sample and arrange this information into charts and graphs that are easy to contrast. Trying to reach conclusions that extend beyond the immediate data alone describes inferential statistics. To document the results of sampling, qualitative and quantitative data is used. Quantitative data lack is measured and identified on a numerical scale, whereas Qualitative data approximates data but does not measure characteristics, properties and etc. The purpose of this experiment was to use statistical analysis to evaluate random sampling of colored stones (Montague 2009). While conducting this experiment, we came up with a few null hypotheses. The first null hypothesis is that all the stones that have the same color weigh the same. The second null hypothesis is that there are more blue stones than red or yellow stones. Therefore the Blue stones will be picked the mosr. Our final null hypothesis is that the stones of the same color have the same length and that they will not vary in size. Method

Our team was given a box of one hundred and two red, blue, and yellow stones. Team members A and B took turns choosing stones via random sampling, team member E recorded the color of the chosen stone. Team member C measured the weight of the stone with a scale, and team member D measured the length of the stone using a vernier capiler. Team members A and B placed the stones back into the box, mixed it, and we then repeated the procedure....

...Examination
Assignment
DATA ANALYSIS
Ali Abid Kazmi #16269
MASTERS OF INFORMATION ENGINEERING & COMPUTER SCIENCE
Table of Contents
Introduction/ Thesis:............................................................................................................................... 3
Methods .................................................................................................................................................. 3
Results...

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