2.  To know which bank’s FD is performing
consistently.
 To ascertain whether performance of both
Bank’s FD in terms of sales is same or not.

3.  The study is based on Primary data.
 Random sampling technique has been used to
collect FDs of Two Bank
 A sample of 12 months has been taken.
 Hypothesis testing method has been used.

4.  The data collected were analyzed with the
help of various statistical tools like standard
deviation and mean.
 A hypothesis testing was performed on the
selected data.

5. DATA ANALYSIS OF TWO BANKS
INDIAN BANK BANK OF INDIA
Sales(BOI)
Month Sales(I.B) X (X-A) (X-A)2 Y (Y-B) (Y-B)2
Aug-09 250 -21 441 285 22 484
Sep-09 264 -7 49 290 27 729
Oct-09 350 79 6241 240 -23 529
Nov-09 260 -11 121 265 2 4
Dec-09 275 4 16 230 -33 1089
Jan-10 225 -46 2116 200 -63 3969
Feb-10 280 9 81 241 -22 484
Mar-10 245 -26 676 275 12 144
Apr-10 285 14 196 245 -18 324
May-10 279 8 64 285 22 484
Jun-10 254 -17 289 295 32 1024
Jul-10 285 14 196 305 42 1764
Total 3252 0 10486 3156 0 11028

6. INDIAN BANK BANK OF INDIA
Mean (A) = 271 Mean (B) = 263
Sd = 29.56 Sd = 29.94
Lets make hypothesis that both bank have same mean
H0 : ц1 = ц2
H1 : ц1 ≠ ц2 (Assume that both have different mean)
t test at Level of significance 5%
Pooled standard deviation Sp = 29.93
Standard Error = 12.22
Critical value = +/- 2.07
Observed value = 0.6545
As observed value 0.6545 lies between Critical value +/- 2.07, we
are accepting the hypotheses Ho and rejecting H1.

7.  Data given by bank employee may or may not
be 100% accurate.
 Sample size is too small.
 Data is collected from only one branch of
both banks.

8.  On the basis of mean we can say that sale of
FD of Indian Bank is more than that of Bank
of India.
 On the basis of Sd we can say that sale of FD
of Indian Bank is more consistence than that
of Bank of India.
 By the help of hypothesis testing we have
proved that the mean sale of FD of both the
banks are same.