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4. 30% of the customers at XYZ Stores use a debit card to pay for their purchases. In a recent market research study, 12 of the Store’s over 20,000 customers on record was randomly selected for two focus groups on new payment technologies. (12 Marks)
a. Is the selection of 12 customers a binomial experiment? Please explain.
b. What is the probability that 5 of the 12 customers selected use a debit card to pay for their purchases?
c. What is the probability that at least 4 of the 12 customers selected use a debit card to pay for their purchases?
d. What is the probability that at most 4 of the 12 customers selected use a debit card to pay for their purchases

Identify whether the  following variables would be measured in Nominal, Ordinal, Interval  or Ratio Scale.

a.  Number  of logins to Facebook per day. _____________

b.  Social class ___________________

c.  Performance Scale____________________

d.  Military ranks ____________________

e. Hair color    ____________________

f.  Religion ___________________

g.  Gender ____________________

h.  Meal Preference _____________________

i.  Social Sites ____________________

j.  Number of children in families  ____________________


There are 20 computers in a store. Among them, 15 are brand new and 5 are refurbished. Six computers are purchased for a student lab. From the first look, they are indistinguishable, so the six computers are selected at random. Compute the probability that among the chosen computers, two are refurbished.
) Four items are taken at random from a box of 12 items and inspected. The box is rejected if more than 1 item is found to be faulty. If there are 3 faulty items in the box, find the probability that the box is accepted.

A computer manager needs to know how efficiency of her new computer program depends on the size of incoming data. Efficiency will be measured by the number of processed requests per hour. Applying the program to data sets of different sizes, she gets the following results:-

Data Size (gigabytes) (x)

6    7   7   8  10 10 15

Processed requests(y)

40 55 50 41 17 26 16

a.      Find the equation of regression line

b.     Interpret regression co-efficient and y intercept

c.      Can we take Data Size as dependent variable if yes then how? If not then why? Explain.

Could this problem be studied using correlation if yes then how? If not then why? Explain


  A manufacturer of a new light bulb would like to demonstrate that his product works twice as fast as the competitor’s product. The manufacturer would like to test

           H:

           H1 :

Where are the mean life time of the bulbs of manufacture’s product and competitor’s product, respectively? Assume that both population variances are known. Develop a procedure for testing the above hypothesis.


A rowing team consists of four rowers who weigh 18, 24,and 36 pounds. Find all possible random samples with replacement of size three and compute the sample mean for each one. Use them to find the sampling distribution of the sample mean. Also verify the results.



Ten competitors in a beauty contest are ranked by three judges in the following order:-

First Judge

1 6 5 10 3 2 4 9 7 8

Second Judge

3 5 8 4 7 10 2 1 6 9

Third Judge

6 4 9 8 1 2 3 10 5 7

a. Use the rank correlation co efficient to discuss which pair of judges have the nearest approach to common tastes in beauty.

b. Could this problem be studied using correlation if yes then how? If not then why? Explain.
A computer manager needs to know how efficiency of her new computer program depends on the size of incoming data. Efficiency will be measured by the number of processed requests per hour. Applying the program to data sets of different sizes, she gets the following results:-

Data Size (gigabytes) (x)

6 7 7 8 10 10 15

Processed requests(y)

40 55 50 41 17 26 16

a. Find the equation of regression line

b. Interpret regression co-efficient and y intercept

c. Can we take Data Size as dependent variable if yes then how? If not then why? Explain.

d. Could this problem be studied using correlation if yes then how? If not then why? Explain.
A computer manager needs to know how efficiency of her new computer program depends on the size of incoming data. Efficiency will be measured by the number of processed requests per hour. Applying the program to data sets of different sizes, she gets the following results:-

Data Size (gigabytes) (x)

6 7 7 8 10 10 15

Processed requests(y)

40 55 50 41 17 26 16

a. Find the equation of regression line

b. Interpret regression co-efficient and y intercept

c. Can we take Data Size as dependent variable if yes then how? If not then why? Explain.

d. Could this problem be studied using correlation if yes then how? If not then why? Explain.
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