Chi Square Analysis Questions

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Chi Square Analysis Questions Based on our group’s sample, we should reject the null hypothesis. The null hypothesis states that the frequencies of each color M&Ms in our sample size of 5 bags would match exactly the frequencies given to us by the Mars Company (maker of M&M candies). Our data, however, showed that the frequencies of the M&Ms were drastically different (p-value less than 1%) Since we rejected the null hypothesis, some explanations that could have caused this is human error from the factory workers, the percentages may have changed since they were last checked, shortage of a certain dye, or a deviant employee stealing M&Ms of a certain color. Based on our class’s sample, we should reject the null hypothesis. The null hypothesis states that the frequencies of each color M&Ms in our sample size of 30 bags would match exactly the frequencies given to us by the Mars Company (maker of M&M candies). Our data, however, showed that the frequencies of the M&Ms were drastically different (p-value less than 1%) It is important to take the data from the entire class because it is more likely for smaller samples to differ in terms of frequencies more drastically, since there are fewer objects, so getting the class data can give us more accurate averages. Just like the M&Ms had many different colors, so can organisms. In fact, for organisms, it doesn’t even have to be color. In organism variation, there may be many categories that influence survival and if we were to analyze the genes, we may find that altering one variable may change the ratios of surviving organisms. In this case, the Chi square will help us determine whether this change was caused by our altering a variable or just by random
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