Page 284 - DMGT404 RESEARCH_METHODOLOGY
P. 284

Research Methodology




                    Notes          5.  Are all employees equally prone to having  accidents? To investigate this hypothesis,
                                       Parry (1985) looked at a light manufacturing plant and classified the accidents by type and
                                       by age of the employee.
                                                                            Accident Type
                                             Age
                                                             Sprain             Burn              Cut
                                      Under 25          9                 17               5
                                      25 or over        61                13               12

                                       A chi-square test gave a test-statistic of 20.78. If we test at a =.05, does the proportion of
                                       sprain, cuts and burns seems to be similar for both age classes? Why/why not?
                                   6.  In hypothesis testing, if  is the probability of committing an error of Type II. The power
                                       of the test, 1 –  is then the probability of rejecting H  when H  is true or not? Why?
                                                                                  0      A
                                   7.  In a statistical test of hypothesis, what would happen to the rejection region if , the level
                                       of significance, is reduced?
                                   8.  During the pre-flight check, Pilot Mohan discovers a minor problem - a warning light
                                       indicates that the fuel gauge may be broken. If Mohan decides to check the fuel level by
                                       hand, it will delay the flight by 45 minutes. If he decides to ignore the warning, the aircraft
                                       may run out of fuel before it gets to Mumbai. In this situation, what would be:
                                       (a)  the appropriate null hypothesis? and;
                                       (b)  a type I error?
                                   9.  Can the probability of a Type II error be controlled by the sample size? Why/ why not?

                                   10.  A research biologist has carried out an experiment on a random sample of 15 experimental
                                       plots in a field. Following the collection of data, a test of significance was conducted under
                                       appropriate null and  alternative hypotheses  and  the  P-value  was  determined to be
                                       approximately .03. What does this indicate with respect to the hypothesis testing?

                                   11.  Two samples were drawn from a recent survey, each containing 500 hamlets. In the first
                                       sample, the mean population per hamlet was found to be 100 with a S.D. of 20, while in the
                                       second sample the mean population was 120 with a S.D. 15. Do you find the averages of the
                                       samples to be statistically significant?
                                   12.  A simple random sample of size 100 has a mean of 15, the population variance being 25.
                                       Find an interval estimate of the population mean with a confidence level of (i) 99% and
                                       (ii) 95%.

                                   13.  A population consists of five numbers 2, 3, 6, 8, 11. Consider all possible samples of size
                                       two which can be drawn with replacement from this population. Calculate the S.E.  of
                                       sample means.

                                   14.  A certain drug is claimed to be effective in curing colds; half of them were given sugar
                                       pills.  The patients’ reactions to the treatment are recorded in the following table.
                                                             Helped            Harmed            No effect
                                      Drug                     52                10                18
                                      Sugar pills              44                10                26

                                       Test the hypothesis that the drug is no better than the sugar pills for curing colds. (The 5 %
                                       value of x  for v = 2 = 5.991)
                                               2





          278                               LOVELY PROFESSIONAL UNIVERSITY
   279   280   281   282   283   284   285   286   287   288   289