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Q1) One hundred Lower Wabash Tech students take 10-question multiple-choice test with 4 answers to each question, exactly one of which is right. All of the students are unprepared and should guess at each question.
Recognize random variable of interest, and give explanation for your answer. Find out the probability distribution of this random variable. i.e.,, find out the probability of getting each possible score.
You are given the following data.
Number of Absences
Final Grade
0
97
1
90
2
75
82
3
77
68
4
60
5
58
6
46
i) Create a scatter plot for the data.
ii) Determine the correlation coefficient for the data.
iii) Determine the equation for regression line for the data, and forecast final grade of a student who misses 3.5 days.
The upper limit of a 95% confidence interval for the population mean would equal:
Recognize and describe potential threats (up to 3) to internal validity.
From past data, it is recognized that company's production process results in normally distributed yield strengths. Test company's claim at a = 0.05.
If statistically significant, do you believe the difference is large enough to be significant? If so, to whom, and explain why? Is normality assumption fulfilled? Describe.
At 1 excavation site 8641 pot shards have been found that have not presently been cleaned also identified. Define the probability.
Report the t-value, whether you accept or reject Ho, and whether the difference was significant in a brief sentence.
Find out the suitable critical value(s) for this situation given a 0.05 significance level. Find out/compute the value of sample test statistic.
What does confidence interval tell you? What does it mean? What 2 things can a researcher do to decrease width of a confidence interval? What are the effects?
In a normal frequency distribution, 32% of the cases:
You have two unbiased estimates, e 1 and e 2 , of a quantity with variances V 1 and V 2 respectively, and covariance Cov {e1,e 2 } = C. Form a new unbiased estimate:
With the test statistic you chose, work out the problem with solution using .05 level of significance if it applies.
Construct a 95% confidence interval for the average amount its credit card customers spent on their first visit to the chain's new store in the mall assuming that the amount spent follows a normal distribution.
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