In: Statistics and Probability
A biologist was interested in determining whether sunflower seedlings treated with an extract from Vinca minor roots resulted in a lower average height of sunflower seedlings than the standard height of 15.7 cm (σ = 3.5 cm). The biologist treated a random sample of n = 31 seedlings with the extract and subsequently obtained the sample mean: 13.8 cm. Use a 0.01 level of significance to test the hypothesis that μ = 15.7 (H0) against the alternative that μ < 15.7 (H1).
Solution:
Given:
Average standard height = cm
Standard Deviation =
Sample size = n = 31
Sample mean =
level of significance = 0.01
Null Hypothesis:
H0: μ = 15.7 (H0) against
Alternative Hypothesis:
H1: μ < 15.7 ( Left tailed test)
Find test statistic value:
Find z critical value:
level of significance = 0.01 and this is left tailed test, thus look in z table for area = 0.0100 or its closest area and find z value.
Area 0.0099 is closest to 0.0100 and it corresponds to -2.3 and 0.03
thus z critical value = -2.33
Decision Rule:
Reject null hypothesis ,if z test statistic value < z
critical value = -2.33 , otherwise we fail to reject H0.
Since z test statistic value = z = -3.02 < z critical value = -2.33 ,
Conclusion:
At 0.01 level of significance, we have sufficient evidence to conclude that sunflower seedlings treated with an extract from Vinca minor roots resulted in a lower average height of sunflower seedlings than the standard height of 15.7 cm.