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Solutions to the stat 571 midterm exam held on october 9, 2007. The exam covers topics such as calculating mean and variance, interpreting histograms and stem-and-leaf plots, and understanding normal distributions. It also includes problems related to microarray experiments, human odorant receptors, and tooth development in mammals.
Typology: Exams
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Name:
For instructor’s use:
1 27
2 6
3 15
4 15
5 10
6 27
Total 100
i yi^ = 295 and^
i y
2 i = 8708.66. Calculate the mean and variance of this sample.
(b) The histogram to the right represents preferred temperature data from bluegill sunfish (a different species of fish). How many fishes were there in this sample?
Make up a data set consistent with this histogram.
preferred temperature (C), bluegills
Frequency
27 28 29 30 31 32 33
0
1
2
3
4
(c) The stem and leaf plot to the right displays the data on pre- ferred temperature from fish after injection of a bacterial pyrogen. Make a boxplot for these data.
The decimal point is at the | 30 | 4 31 | 47 32 | 24 33 | 458 34 | 49 35 | 1 36 | 37 | 2
(d) The histogram to the right corresponds to the observed shift in preferred temperature after injection of the bacterial pyrogen. From visual inspection of the histogram, in this sample the mean is 1.6 2.6 3. the standard deviation is 0.6 1.6 2.
temperature shift (C)
Frequency
1.5 2.0 2.5 3.0 3.5 4.
0
1
2
3
4
Now suppose differential expression of this particular gene is measured repeatedly from 30 independent microarrays, so that we get a random sample Y 1 ,... , Y 30 from the distribution shown to the right. Then the sample mean Y¯ has one of the distributions below: (a) (b) (c) (d) 0 1 2 3 4 differential expression
distribution density
Briefly justify your answer.
0.0 0.5 1.0 1.5 2.0 2.
(a)
0.0 0.5 1.0 1.5 2.0 2.
(b)
0.0 0.5 1.0 1.5 2.0 2.
(c)
0.0 0.5 1.0 1.5 2.0 2.
(d)
mean differential expression over 30 arrays (samples)
(a) Define a random variable Xm that is the total number of fish that the mother catches. What is the distribution of this random variable? If it is a random variable that we did not name in class, give its complete probability distribution (if discrete, all possible outcomes with the associated probabilities; if continuous, the probability density function). If it is a random variable that we did talk about in class, give its name and the values of all of the relevant parameters, and list the reasons why you think this random variable is of that type.
(b) Now define a different random variable Y that is the total number of fish that the mother and father catch combined. What is the expected value of this random variable?
(c) Suppose the mother and father bear must catch a combined total of at least 9 salmon in order for every member of the family to gain fat reserves for the coming winter. What is the probability that this occurs on a given day? Hint: it helps to enumerate the various ways of getting 9 salmon.