Situation:
Many people believe that there is a "Friday effect" in the stock market. They do not necessarily spell out exactly what they mean by this, but there is a sense that the stock prices tend to be lower on Fridays than on other days.
Action:
Because stock prices are readily available on the web, it should be easy to test this hypothesis empirically.
Friday | Monday |
140.52 | 141.25 |
140.73 | 140.64 |
142.8 | 142.29 |
145.13 | 145.7 |
142.48 | 138.73 |
144.48 | 146.62 |
146.84 | 146.72 |
144.06 | 141.03 |
144.17 | 143.69 |
142.42 | 145.86 |
145.09 | 144.44 |
131.71 | 127.19 |
133.24 | 130.68 |
129.76 | 134.43 |
134.67 | 136.02 |
136.09 | 128.13 |
131.01 | 134.02 |
132.56 | 140.68 |
139.7 | 138.42 |
137.6 | 146.7 |
146.7 | 148.4 |
148.07 | 145.98 |
147.94 | 144.42 |
142.59 | 148.34 |
149.4 | 145.45 |
146.95 | 148.45 |
148.5 | 143 |
144.62 | 140.9 |
139.58 | 144.54 |
129.99 | 140.5 |
125.63 | 130.21 |
124.61 | 124.01 |
120.13 | 121.56 |
122.56 | 119.47 |
108.63 | 117.39 |
115.16 | 118.18 |
118.16 | 122.9 |
121.07 | 126.34 |
124.63 | 135.86 |
133.96 | 131.29 |
126.96 | 126.34 |
127.88 | 127.91 |
131.13 | 131.97 |
131.05 | 130.75 |
134.8 | 134.01 |
133.26 | 132.1 |
132.12 | 134.14 |
127.39 | 127.58 |
129.22 | 131.9 |
127.38 | 129.92 |
131.14 | 132.75 |
The hypothesis being tested is:
H0: µ1 = µ2
H1: µ1 ≠ µ2
Friday | Monday | |
134.8288 | 135.8784 | mean |
9.6953 | 8.7682 | std. dev. |
51 | 51 | n |
100 | df | |
-1.04961 | difference (Friday - Monday) | |
85.43984 | pooled variance | |
9.24337 | pooled std. dev. | |
1.83046 | standard error of difference | |
0 | hypothesized difference | |
-0.573 | t | |
.5677 | p-value (two-tailed) |
The p-value is 0.5677.
Since the p-value (0.5677) is greater than the significance level (0.05), we fail to reject the null hypothesis.
Therefore, we cannot conclude that there is a statistically significant Friday effect in the stock market.
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