In: Statistics and Probability
1.
Suppose, random variable X denotes low temperature in a day for Doha in November.
We have sample values. But we do not know population standard deviation (or variance). So, we have to perform one sample t-test.
We have to test for null hypothesis
against the alternative hypothesis
Our test statistic is given by
Here,
Sample size
Sample mean
Sample standard deviation
Degrees of freedom
[Using R-code '1-pt(2.12132,7)']
Level of significance
We reject our null hypothesis if
Here, we observe that
So, we reject our null hypothesis.
Hence, based on the given data we can conclude that there is significant evidence that the average low temperature for Doha in November is greater than .
2.
We have sample values. But we do not know population standard deviation (or variance). So, we have to use test statistic corresponding to one sample t-test.
Corresponding test statistic is given by
Here,
Sample size
Sample mean
Sample standard deviation
Degrees of freedom
Level of significance
We have,
[Using R-code 'qt(1-0.90,7)']
Hence, 90% lower confidence bound is 20.999.