to study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow. Temperature 50°C 60°C 70°C 33 30 25 23 31 30 35 34 30 38 23 32 31 27 33 a. Construct an analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary). Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total b. Use a level of significance to test whether the temperature level has an effect on the mean yield of the process. Calculate the value of the test statistic (to 2 decimals). The -value is What is your conclusion?
for the given data using Anova single factor in Excel we get output as ( Assuming alpha = 0.05)
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
50 | 5 | 160 | 32 | 32 | ||
60 | 5 | 145 | 29 | 17.5 | ||
70 | 5 | 150 | 30 | 9.5 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 23.3333333 | 2 | 11.66667 | 0.59322 | 0.567966 | 3.885294 |
Within Groups | 236 | 12 | 19.66667 | |||
Total | 259.333333 | 14 |
Get Answers For Free
Most questions answered within 1 hours.