On average, a banana will last 6.3 days from the time it is purchased in the store to the time it is too rotten to eat. The standard deviation is 2.1 days. Will the average banana spoil earlier if the banana is hung from the ceiling? The data show results of an experiment with 16 bananas that are hung from the ceiling. Assume that that distribution of the population is normal. 5, 8, 5, 7, 4, 4, 6, 8, 6, 7, 5, 7, 6, 3, 6,2 What can be concluded at the 0.10 level of significance? H0: = 6.3 Ha: [ Select ] [">", "<", "Not Equal To"] 6.3 Test statistic:[ Select ] ["T", "Z"] p-Value = [ Select ] ["0.02", "0.08", "0.04", "0.16"] [ Select ] ["Reject Ho", "Fail to Reject Ho"] Conclusion: There is [ Select ] ["insufficient", "statistically significant"] evidence to make the conclusion that the population mean time that it takes for bananas to spoil if they are hung from the ceiling is less than 6.3 days.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
On average, a banana will last 6.3 days from the time it is purchased in the store to the time it is too rotten to eat. The standard deviation is 2.1 days. Will the average banana spoil earlier if the banana is hung from the ceiling? The data show results of an experiment with 16 bananas that are hung from the ceiling. Assume that that distribution of the population is normal.
5, 8, 5, 7, 4, 4, 6, 8, 6, 7, 5, 7, 6, 3, 6,2
What can be concluded at the 0.10 level of significance?
H0: = 6.3
Ha: [ Select ] [">", "<", "Not Equal To"] 6.3
Test statistic:[ Select ] ["T", "Z"]
p-Value = [ Select ] ["0.02", "0.08", "0.04", "0.16"]
[ Select ] ["Reject Ho", "Fail to Reject Ho"]
Conclusion: There is [ Select ] ["insufficient", "statistically significant"] evidence to make the conclusion that the population
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