Help me on this one please also do it the same way for....28/50....3/4 please!
2 answers:
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Answer:
We conclude that political science classes require less writing time than history classes at 0.01 level of significance.
Step-by-step explanation:
We are given that the 55 randomly selected political science classes assigned an average of 16.3 pages of essay writing for the course. The standard deviation for these 55 classes was 4.8 pages.
The 54 randomly selected history classes assigned an average of 18.9 pages of essay writing for the course. The standard deviation for these 54 classes was 5 pages.
<em>Let </em><em> = </em><u><em>average writing time required by political science classes.</em></u>
<em /><em> = </em><u><em>average writing time required by history classes.</em></u>
So, Null Hypothesis, :
{means that political science classes require more or equal writing time than history classes}
Alternate Hypothesis, :
{means that political science classes require less writing time than history classes}
The test statistics that would be used here <u>Two-sample t test statistics</u> as we don't know about the population standard deviation;
T.S. = ~
where, = sample average pages of essay writing for political science classes = 16.3 pages
= sample average pages of essay writing for history classes = 18.9 pages
= sample standard deviation for political science classes = 4.8 pages
= sample standard deviation for history classes = 5 pages
= sample of political science classes = 55
= sample of history classes = 54
Also, =
= 4.90
So, <u><em>test statistics</em></u> = ~
= -2.77
The value of t test statistics is -2.77.
<u>Now, at 0.01 significance level the t table gives critical value of -2.365 at 107 degree of freedom for left-tailed test.</u>
<em>Since our test statistics is less than the critical value of t, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which </em><u><em>we reject our null hypothesis</em></u><em>.</em>
<em />
Therefore, we conclude that political science classes require less writing time than history classes.
Answer:
For this case we have information from a sample of n =20 times of temperatures of the oven
The parameter of interest is population temperature mean of the oven
And the statistic is calculated with this formula:
With n = 20 and represent the mean temperature of the oven
The correct option for this case is:
mu = the true mean temperature of the oven xbar = the true mean temperature of the oven
Step-by-step explanation:
Previous concepts
Parameter represent a property of a population and is calculated with the information of all the populatio. Some examples are the population mean and deviation
Statistic represent a propoerty of a sample and are used used in order to describe the population parameters, since represent estimators of the real parameters.
Solution to the problem
For this case we have information from a sample of n =20 times of temperatures of the oven
The parameter of interest is population temperature mean of the oven
And the statistic is calculated with this formula:
With n = 20 and represent the mean temperature of the oven
The correct option for this case is:
mu = the true mean temperature of the oven xbar = the true mean temperature of the oven