(a) What is the total number of boys diagnosed with ADHD in the sample? Total number of boys = (b) For the null hypothesis, use the overall proportion of births in a quarter to give the null proportion for that quarter. Compute the expected number of ADHD diagnoses for each quarter under this hypothesis. Round your answers to one decimal place. Jan-Mar : Apr-Jun : Jul-Sep : Oct-Dec : (c) Compute the X^2 -statistic. Round your answer to one decimal place. =
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
(a) What is the total number of boys diagnosed with ADHD in the sample?
Total number of boys =
(b) For the null hypothesis, use the overall proportion of births in a quarter to give the null proportion for that quarter. Compute the expected number of ADHD diagnoses for each quarter under this hypothesis.
Round your answers to one decimal place.
Jan-Mar :
Apr-Jun :
Jul-Sep :
Oct-Dec :
(c) Compute the X^2 -statistic.
Round your answer to one decimal place.
=
(d) Give the degrees of freedom and find the p-value.
Enter the exact answer for the degrees of freedom, and round your answer for the p-value to three decimal places.
df=
p-value=
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