Alpha Significance: Understanding & Analyzing Data Set

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The discussion focuses on understanding the significance of a test statistic in hypothesis testing. It explains that a calculated Z value greater than 1.96 suggests an uncommon observation under the null hypothesis, indicating that the null hypothesis can be rejected. The relationship between the data set and the normal curve is emphasized, noting that most observations fall within the central part of the curve, while extremes are less common. The conclusion drawn is that the samples likely do not originate from a population with the specified mean and standard deviation, allowing for the rejection of the null hypothesis. This analysis highlights the importance of the test statistic in determining statistical significance.
gummz
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Homework Statement


What conclusions can be drawn from this data set? What assumptions are you making?

Homework Equations


http://i.imgur.com/M9YQGAF.png
I hope this is legible.

The Attempt at a Solution


The solution is what I'm having trouble with.
I just don't get how that test statistic has anything to do with whether that hypothesis is rejected or not, and what meaning it has for the test statistic to be larger than that number.
 
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This is an interesting question that might require a lengthy discussion.
In general, the process of calculating a test statistic (Z value) is designed so that you can relate your data set to the normal curve. Remember that most normally distributed stuff will be observed in the biggest part of the curve, and it is less common to see something in the tails (left or right extremes) of the curve.
When you find ##|Z_{0.025}| = 1.96##, that is giving you a value which says that 2.5% of observations from a population that has mean of zero and standard deviation 1 (the normal curve standard) will be greater that 1.96 and 2.5% will be less that -1.96. Those two tails account for 5% of the population.
Your calculated test statistic was greater than 1.96, which indicates that it would be an uncommon observation if your null hypothesis is true.
Your conclusion, then is that, accepting the small risk that your observation was a random chance (alpha), you can reject the null hypothesis. That is that these samples did not come from a population with the stated mean and standard deviation.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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