Directions: Draw the normal curve and shade in the specific region. Show formulas used and the substitution. A member of the state legislature wants to determine what fraction of the voters in his district that favors a proposal refunding excess state sales tax revenue to the taxpayers. A random sample of 150 voters in his district shows 80 in his favor in favor. Let p be the population proportion. A. What is the margin of error (E) for this estimate with 95 confidence B.what sample size does he needs in order to state with 97% confidence that the sample is within .05
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!
Directions: Draw the normal curve and shade in the specific region. Show formulas used and the substitution.
A member of the state legislature wants to determine what fraction of the voters in his district that favors a proposal refunding excess state sales tax revenue to the taxpayers. A random sample of 150 voters in his district shows 80 in his favor in favor. Let p be the population proportion.
A. What is the margin of error (E) for this estimate with 95 confidence
B.what
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