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A coffee manufacturer is interested in whether the mean daily consumption of regular-coffee drinkers is less...

A coffee manufacturer is interested in whether the mean daily consumption of regular-coffee drinkers is less than that of decaffeinated-coffee drinkers. Assume the population standard deviation for those drinking regular coffee is 1.45 cups per day and 1.56 cups per day for those drinking decaffeinated coffee. A random sample of 47 regular-coffee drinkers showed a mean of 4.42 cups per day. A sample of 37 decaffeinated-coffee drinkers showed a mean of 4.93 cups per day. Use the 0.025 significance level. Is this a one-tailed or a two-tailed test? One-tailed test. Two-tailed test. State the decision rule. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.) Compute the value of the test statistic. (Negative amount should be indicated by a minus sign. Round your answer to 2 decimal places.) What is the p-value? What is your decision regarding H0? Do not reject H0. Reject H0.

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  • Null and alternative hypothesis is \small H_0: \mu_1\geq \mu_2\ \ \ \verses\ \ H_1: \mu_1< \mu_2
  • One tail test ( left tail )
  • critical value = \small Z_c=-1.96
  • decision criteria : if test statistic z < \small Z_c=-1.96 then we reject \small H_o other wise we accept.
  • test statistic = z= -1.53
  • p-value= 0.0625
  • Decision : Do not reject \small H_o

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