Sample size effects on data distribution and mean calculation
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Welcome module's SLP. For module, continue collect data days. Is larger sample changing ? Is increasing
The larger sample size is statistically significant in the sense that it helps to complete the projected bell jar curve. A bell curve shape is "an indication of a normal distribution in statistics" (Trochim, 2006). However, it is not changing the mean in any substantial way. The larger sample size simply provides more evidence to reinforce the effect of the bell curve of the data. Since the data reflects independent sampling, which is data that has no effect on one another (Easton & McColl, no date), the larger sample size does not significantly change the mean.
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In order to calculate the mean, I used the following equation:
Mean
X = 72+90+130+180+75+225+300+84+100+150+180+120+62+79+
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