In a study entitled How Undergraduate Students Use Credit Cards, it was reported that undergraduate students have a mean credit card balance of $3,173. This figure was an all-time high and had increased 44% over the previous five years. Assume that a current study is being conducted to determine if it can be concluded that the mean credit card balance for undergraduate students has continued to increase compared to the original report. Based on previous studies, use a population standard deviation σ = $1,000. (a) State the null and alternative hypotheses. H0: μ ≥ 3,173 Ha: μ < 3,173 H0: μ > 3,173 Ha: μ ≤ 3,173 H0: μ = 3,173 Ha: μ ≠ 3,173 H0: μ ≤ 3,173 Ha: μ > 3,173 H0: μ < 3,173 Ha: μ ≥ 3,173 (b) What is the test statistic for a sample of 170 undergraduate students with a sample mean credit card balance of $3,315? (Round your answer to two decimal places.) ( ) What is the p-value for a sample of 170 undergraduate students with a sample mean credit card balance of $3,315? (Round your answer to four decimal places.) p-value = (c)Using a 0.05 level of significance, what is your conclusion? Do not reject H0. There is sufficient evidence to conclude that the current population mean credit card balance for undergraduate students has increased compared to the previous all-time high of $3,173 reported in the original report. Reject H0. There is insufficient evidence to conclude that the current population mean credit card balance for undergraduate students has increased compared to the previous all-time high of $3,173 reported in the original report. Do not reject H0. There is insufficient evidence to conclude that the current population mean credit card balance for undergraduate students has increased compared to the previous all-time high of $3,173 reported in the original report. Reject H0. There is sufficient evidence to conclude that the current population mean credit card balance for undergraduate students has increased compared to the previous all-time high of $3,173 reported in the original report.
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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