Question: help with these two questions please How many Kleenex should the Kimberly Clark Corporation package of tissues contain? Researchers believed that 60 is the average

help with these two questions please
help with these two questions please How many Kleenex should the Kimberly
Clark Corporation package of tissues contain? Researchers believed that 60 is the

How many Kleenex should the Kimberly Clark Corporation package of tissues contain? Researchers believed that 60 is the average number of tissues used during a cold. They collected a random sample of 100 Kleenex users. The sample yielded a mean of 52 and standard deviation of 22 on the number of tissues used during a cold. 2) Calculate the test statistic for determining whether the average number of tissues used during a cold is 60. (Hint: similar to the 2-score, the test statistic there is a relative distance.te(sample mean - hypothesized mean)/StandardError, where Standard Error-population sigma/sqrt(sample size). Here sample size = 100. What is the square root of 100?) (StandardError is the name of the Standard Deviation for the distribution of the mean. (Yes, your mean has a distribution, as well.) (52-60)/(22/100) -36.36 (52-60)/(22/100-2) -3636.36 (52-60)/122/10) -3.636 (52-60)/22.-6.364 How many Kleenex should the Kimberly Clark Corporation package of tissues contain? Researchers believed that 60 is the average number of tissues used during a cold. They collected a random sample of 100 Kleenex users. The sample yielded a mean of 52 and standard deviation of 22 on the number of tissues used during a cold. 3) Note that the standard deviation is estimated from the current sample rather than provided upfront. In a hypothesis test for determining whether the average number of tissues used during a cold is 60, What distribution does the test statistic follow? (Hint: The test statistic is called a t. The name of this hypothesis test is called the one-sample t-test. The shape of at: distribution is very close to a normal distribution. In fact, we should say that the normal distribution is a special case of the t-distribution with a infinitely large sample.) an exponential distribution Chi-square distribution O at distribution a uniform distribution

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