Normal Distribution and Obj

So, we should reject the null hypothesis H0. At a 0.05 level of significance level, we conclude that there is a significant difference between the average height for females and the average height for the males.

5. Write an equation to find the “Number of people told” for any 5-minute interval in Scenario B.

Let's assume that the expected sales distribution is normally distributed, with a mean of 20,000, and 95% falling within 10,000 and 20,000.

We reject Ho if χ2 > χα2. At α=0.05, with 4 degrees of freedom, the critical value becomes χα2=9.488 (table E.4)

(c) The mean of the sample and the value of Z with an area of 5% in the left tail.

The area under a normal curve with mu = 35 and sigma = 7 is 0, 1, or 2?

18. Suppose that the scores of architects on a particular creativity test are normally distributed. Using a normal curve table, what percentage of architects have Z scores:

7. The data set for this problem can be found through the Pearson Materials in the Student Textbook Resource Access link,

The next table shows the results of this independent t-test. At the .05 significance level, can we conclude

30. The manager of the local National Video Store sells videocassette recorders at discount prices. If the store does not have a video recorder in stock when a customer wants to buy one, it will lose the sale because the customer will purchase a recorder from one of the many local competitors. The problem is that the cost of renting warehouse space to keep enough recorders in inventory to meet all demand is excessively high. The manager has determined that if 90% of customer demand for recorders can be met, then the combined cost of lost sales and inventory will be minimized. The manager has estimated that monthly demand for recorders is normally distributed, with a mean of 180 recorders and a standard deviation of 60. Determine the number of recorders the manager should order each month to meet 90% of customer demand.

A total of 192 have been diagnosed with cancer from the 1424 respondents. From those who have not yet been diagnosed with cancer, 667 were employed, 42 were unemployed, 96 were homemaker, 46 students, 283 have been retired, 69 disabled, 26 with “other” occupation and one person refused to reveal their occupation. Only one person refused to reveal if he or she has ever been diagnosed with cancer and it was a retired person. One disabled person did not know if they have ever been diagnosed with cancer. From this crosstabulation, it seems as retired people have the highest rate of getting cancer and students have the least possibilities of having cancer. The Pearson Chi-Square value is 102.774 with a Likelihood Ratio of 91.864 and a Linear-by-Linear-Association of .289. For the frequencies of the current occupational status, there are 1428 are valid and 72 are missing. The mean is 4.41, median is at 1, the mode at 1 as well, a standard deviation of 12.43, 154.515 is the variance and the range equals to 97. Most of the respondents were employed with a frequency of 725, 385 are retired, 115 are students and the rest were distributed amongst the other occupations, which are unemployed, student, disabled, other and refused. As for the frequencies of having been diagnosed with cancer, 1433 of the cases were valid while

1. What is the expected customer lifetime value of a newly acquired customer? Use an annual discount rate of 10%.

The second step is defining the significance level, determining the degrees of freedom and finding the critical value. The a-level shows that for a result to be statistically significant, it cannot occur more than the a-level percentage of time by chance. The critical value can be obtained by using the t-test table. The degrees of freedom is

* (1,712 + 251) + purchase - COGS under FIFO = (2,069 + 276) let this calculation be called "B"

Within the data set, there are 126 vendors; most vendors only have one duplicate, while there are thirty-four instances where vendors have anywhere from sixteen to thirty-eight duplicates. Of the 126 vendors, seventy-eight of them have more than one duplicate, anywhere from three to seventy-six transactions. This is a