One question, the parts are just listed out in letter form. The weights in ounces of a sample of running shoes for men and women are shown below. Assume the data is normally distributed. Test the claim that the mean weight of women’s shoes is different from the mean weight of men’s shoes at the ?=.05 level of significance. (screenshot for data) a. State the null and alternate hypotheses. b. Compute the test statistic and draw a picture of the sampling distribution. c. Find the critical value and/or the p value. d. Make a decision and justify it using the critical value and/or the p-value. e. Record an appropriate conclusion in context of this problem.
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!
One question, the parts are just listed out in letter form.
The weights in ounces of a sample of running shoes for men and women are shown below. Assume the data is
- a. State the null and alternate hypotheses.
- b. Compute the test statistic and draw a picture of the sampling distribution.
- c. Find the critical value and/or the p value.
- d. Make a decision and justify it using the critical value and/or the p-value.
- e. Record an appropriate conclusion in context of this problem.
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