a computer manufacturer estimates that its line of mini computers has on average 8.4 days of down time per year to test this claim a researcher contacts 7 companies that owe one of these computers and is allowed to access company computer records. it is determined that for the sample the average number of downtime days is 5.6 withsample standard deviation of 1.3 daysassuming that the number of downtime says is normally distributed test to determine of down time is different from 8.4 days let a=.01

suppose you have just been hired as the statistician for a company which manufactures drugs(legal ones of course) the company has set up the following hypothesis

h0 the production run of a drug is of satisfactory quality

h1 the proaction run of a drug is of poor quality and should not be sold

25what are the type 1 and type 2 errors in this situation

26what are the ramifications (practical consequences) of making each type of error defined in part a above?

27based on ur answers two parts a and b above what value would you choose for alpha

29a company wants to study the relationship between an employees length of employment and their number fo world days absent specifically the company wants to determine if the absenteeism can be predicted if they know the length of empoyement the consultant hired to help with the study collected the following information on a random sample of 7 employees

#of workdays absent

4

2

3

5

7

7

8

length of employment

10

5

9

4

2

2

0

29in this problem which is variable is a dependent variable (y)

30what is the correlation? interpret its meaning

31what is the coefficient of determination ?

interpret its meaning in practical terms

32suppose you know that a person has worked at the company for 8years. How many work days would you predict he/she would be absent

33interpet in practical terms the meaning of the slope in this example

34is there a statistically significant negative linear relations between number of years of employment and number of days a person is absent. test at the 5% level of significance