Statistical Analysis of Colored Stones by Using Random Sampling

Statistical Analysis of color in Stones by using Random Sampling Naomi Malary Lab Report 1 Ecology Lab 312 L-1 October 12, 2009 admittance Random Sampling, a method often used by ecologist involves an unp chromaticictable component. In this method, all members of the race 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 tell this information into charts and graphs that are easy to contrast.Trying to r individually conclusions that extend beyond the immediate data wholly describes inferential statistics. To document the results of sampling, qualitative and quantitative data is used. Quantitative data lack is measured and set on a numerical scale, whereas Qualitative data approximates data but does not measure characteristics, properties and etc. The purpose of thi s experiment was to use statistical analysis to evaluate random sampling of one-sided gemstones (Montague 2009). art object conducting this experiment, we came up with a few null hypotheses.The first null hypothesis is that all the stones that have the self aforementioned(prenominal)(prenominal) color weigh the same. The second null hypothesis is that there are more begrimed 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 and so repeated the procedure. Three sample sets were interpreted . The first set I were the first 5 samples taken (n=5), set II consist of n=10, and set trine consist of n=30. Results There appeared to be a small difference between stone color and their average weight (Table1. and figures 1-3).Upon observation, you will expect that the yellow stones were larger than the blue stones, and the blue stones were larger then the red stones (Table2. and figure 2-3). It can in any case be noted that the only sample set to have red stones selected was in set III (Figure 3). additionally, figure7 shows that blue stones were picked in greater proportion than the yellow and red stones. Discussion I hypothesized that all stones that fortune the same color weighs the same. According to table 2, all the stones of the same color do not function the same weight.Though the average seemed relatively the same, there still was a difference in the weight. Therefore, I must reject my null hypothesis on account of this information. The second null hypothesis verbalize that there are more blue stones than yellow or red stones, therefore more blue stones will be picked than any other stone. According to figure 7, the blue stones accounted for 44%, the yellow stones 38%, and the red stones 18%. Therefore I will not be rejecting my hypothesis on the floor that there were more blue stones present than any other color.The final null hypothesis give tongue to that the stones of the same color have the same length. Table 2 and figures 5-7, accounted for the fact that the yellow stones were usually the longish and the red stones the shortest. Based on this information, I will not be rejecting this null hypothesis. Figure 1 graphical record shows the average weight of distributively colored stone for set=5 Figure 2 Graph shows the average weight of each colored stone for set n=10 Figure3 Graph shows the average weight of each colored stone for set n=30 draw march drawfram e drawframe Figure 4 Graph shows the average weight of each colored stone for set=5 Figure 5 Graph shows the average weight of each colored stone for set n=10 Graph6 Graph shows the average weight of each colored stone for set n=30 drawframe Figure 7 Pie chart shows the totality proportion of the stones Reference Montegue, J. M. 2009. BIO 312L Ecology Lab Exercise 01 2009. Slides 10,11 Wikipedia, Random Sampling. www. wikipedia. com/random_sample