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To test the hypothesis that the mean weight is 6.6 pounds, you could use a one-sample t-test on the sample data. The one-sample t-test will help determine if the mean weight of the sample is significantly different from 6.6 pounds based on the data collected.
A hypothesis is a conclusion. To form a hypothesis one would test theories in order to come up with an accurate conclusion.
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A hypothesis is a proposed explanation for a phenomenon that can be tested through research and experimentation. It serves as the basis for scientific investigation to determine if the proposed explanation is valid.
This means the data supported the hypothesis.
alternitive hypothesis
When the alternative hypothesis is non-directional, we use a two-tailed test. Example: H0: mean = 50 Ha : mean not equal to 50 Here is a directional hypothesis that would use a one-tailed test. H0: mean = 40 Ha : mean > 40 or H0: mean = 40 Ha: mean < 40
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.
HYPOTHESIS: a hypothesis is what you think will happen. You should try starting it off with my hypothesis is... next it will.... then it will... finally it will...
A hypothesis is an educated guess.
It means that the experiment is consistent with the hypothesis. It adds to the credibility of the hypothesis.
A hypothesis which you've deduced and would be reasonable to pursue.