The larger the sample size the more confident you can be that the data you have collected is representative of what would happen on a larger scale. So if your results seem to prove your hypothesis right then the larger you sample size the more confident you can be in accepting your hypothesis.
I suspect you mean the scientific method. Briefly outlined, the scientific method consists of the following tasks: Specify a testable null and an alternative hypothesis based on preliminary tests and observations. Design tests that will determine the validity of the null hypothesis to a specified degree of confidence. Collect data and observations for the tests according to requirements of tests and data sample spaces. Test the hypothesis using collected data and observations. Make conclusions and report on the validity (or not) of the hypothesis. Make recommendation for further studies or applications of the experimental results.
it has no effect. density of a substance is the same no matter the size or shape of the sample.
Infrared spectroscopy cannot be used quantitatively. The sample preparation is also complex. It may be robust as the sample preparation may affect its results.
its inverse relationship
That is a question that confuses many. It is because the water is not acidic and therefore does not affect a colour change. You have a known volume of vinegar when starting the experiment.
You accept an alternative hypothesis when the p-value is greater than the sample a for a confidence level of 95%. The null hypothesis cannot be accepted.
a larger the sample size will reduce the size of the confidence interval
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In Statistics, for making inferences or judgement from the data collected, hypothesis is laid, which is nothing but a statement made based on the sample, about the population of interest. After the experiment is complete, the values are compared with the table values, and inferences are made either by disproving the hypothesis, by accepting the null hypothesis and vice- versa It means to perform an experiment on your hypothesis (theory) to see if it is correct or not.
alternitive hypothesis
confidence
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Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.For Confidence level c, and the critical value of Zc is the number such that the area under the statndard normal curve between -Zc and Zc equals C.n > (zcσ/E)2
The confidence interval becomes smaller.
The width of the confidence interval willdecrease if you decrease the confidence level,increase if you decrease the sample sizeincrease if you decrease the margin of error.
In general, the confidence interval (CI) is reduced as the sample size is increased. See related link.
1) What conditions are required to form a valid large-sample confidence interval for µ?