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Q1) Recent survey illustrates that 680 out of 1050 respondents agree with principle of University top-up fees. Use this data to deduce 95% and 99% confidence intervals for proportion of the general population in favour of such fees. Compute a p-value for the null hypothesis H0: p = 2/3 against the alternative H1 : p ≠ 2/3 . Is it sensible to argue that two-thirds of the general population are in favour of such fees?
Q2) 9 students follow diet over Easter holidays: their weights (in kg) before and after the diet are:
Before
65.4
46.3
56.4
49.2
54.5
55.1
53.5
46.6
58.9
After
61.7
46.1
48
51.8
48.7
52.6
45
58
Stating assumptions on which your arguments and conclusions are based, sum up the statistical evidence regarding effectiveness of this diet.
Which probability distribution is suitable when sampling without replacement?
Among 500 freshmen pursuing a business degree at a university, 347 are enrolled in an economics course, 204 are enrolled in a mathematics course, and 160 are enrolled in both an economics and a mathematics course.
Explain can you find out statistical support in this poll for that statement. When it comes to the war in Iraq, among which of the subsiquent statements comes closer to your point of view.
Here are the DMS odor thresholds for 10 untrained students:
If campaign can be expected to also to rise the probability of best case scenario to 0.4, is it a good investment.
Find out the value of correlation coefficient. Make a regression model to predict winning percentage utilizing all of the data.
Here is a scatterplot of average crawling age versus average outdoor temperature six months after birth followed by a plot of the residuals versus average outdoor temperature six months after birth.
Collapse the response categories in the following tables so that it meets the assumptions of the chi-square test; than perform the test.
The ________ is the probability of observing a sample value as extreme as, or more extreme than the value observed, given that the null hypothesis is true.
Calculate the coefficient of skewness and coefficient of variation of minutes spent commuting. What do these statistics tell us?
The average number of hours of sleep per night that a college freshman gets is 6.50 with a standard deviation of 1.80 hours. If 35 college freshmen are randomly chosen find the probability that they average at least seven hours of sleep per night.
At α = 0.05, is the correctness of the prediction different for the two types of cola drinkers?
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