A simple random sample of size n is drawn. The sample mean, x, is found to be 19.3, and the sample standard deviation, s, is found to be 4.1. Click the icon to view the table of areas under the t-distribution. (a) Construct a 95% confidence interval about u if the sample size, n, is 34. Lower bound:: Upper bound: (Use ascending order. Round to two decimal places as needed.) (b) Construct a 95% confidence interval about u if the sample size, n, is 61. Upper bound: (Use ascending order. Round to two decimal places as needed.) Lower bound: How does increasing the sample size affect the margin of error, E? O A. The margin of error does not change. O B. The margin of error decreases. OC. The margin of error increases. (c) Construct a 99% confidence interval about u if the sample size, n, is 34. Lower bound:: Upper bound: (Use ascending order. Round to two decimal places as needed.) Compare the results to those obtained in part (a). How does increasing the level of confidence affect the size of the margin of error, E? O A. The margin of error decreases. O B. The margin of error increases. OC. The margin of error does not change. (d) If the sample size is 12, what conditions must be satisfied to compute the confidence interval? O A. The sample size must be large and the sample should not have any outliers. O B. The sample data must come from a population that is normally distributed with no outliers. O C. The sample must come from a population that is normally distributed and the sample size must be large.
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!
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