What happens to the variance of the normal distribution as you increase the number of trials?
A. The variance increases
B. The variance decreases
C. The variance stays the same
D. Not enough information to answer the question
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Try increasing the number of trials. Does the result look more like the normal distribution?
A. Yes
B. No
Experiment with the function testErrors() from the lecture code file. Try using a different probability distribution to model the errors, say random.uniform (you'll need to look at the documentation for the random module to determine the correct arguments).Do you get the same result as claimed in the lecture? Does the probability distribution for the sums approach a normal distribution?
A. Yes
B. No
Using the formula derived in this segment, compute k from the second experimental observation: m = 0.15 kg, x = 0.1015 m.Use 9.81 m/s^2 as the gravitational constant (g). Enter your answer to at least 1 decimal place of accuracy.k =______
He catches the flu in two or more of the three months from September through November.______