A drug company is developing a product which is intended to shorten the duration of colds. To determine if the product is effective, a study is done with two groups of physiologically similar people. The placebo group is given a sugar pill, the treatment group is given the cold remedy, and the results are given below.
Cold duration (days) | Placebo group (relative frequency) | Treatment group (frequency) |
0-5 days | 40% | 102 |
6-9 days | 35% | 70 |
10-12 days | 15% | 14 |
13+ days | 10% | 14 |
We want to determine whether or not there is a significant difference in the distribution of the cold durations between the placebo group and the treatment group. Use α = .01 to make your conclusion.
The value of the chi-square statistic is:
The p-value of the test is:
applying chi square test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
1 | 0.400 | 102 | 80.00 | 2.46 | 6.050 |
2 | 0.350 | 70 | 70.00 | 0.00 | 0.000 |
3 | 0.150 | 14 | 30.00 | -2.92 | 8.533 |
4 | 0.100 | 14 | 20.00 | -1.34 | 1.800 |
total | 1.000 | 200 | 200 | 16.383 |
value of the chi-square statistic =16.3833
p-value of the test is =0.0009
Get Answers For Free
Most questions answered within 1 hours.