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At the beginning of the course of Statistical Methods I, the instructor recommended that students devote 3 hours per week for the duration of the 13-week semester, for a total of 39 hours. It is known that the time spent on studying statistics follow a normal distribution. Throughout the course duration, students were claiming that they were following the instructor's recommendation. At the course completion, a random sample of 10 students enrolled in the course was drawn where each student was asked how many hours he or she spent doing homework in statistics. The data are listed below:
45
38
37
40
44
46
42
43
Using the original data, test at the 5% significance level that the population standard deviation of studying times is greater than 4 hours.
To find out whether the course is effective in increasing sales, the appropriate set of hypothesis for testing is:
determine if the improvement is of practical significance one should. Crop researchers plant 100 plots with a new variety of corn. The average yield for these plots is x' = 130 bushels per acre
A concessionaire for the local ballpark has made a table of conditional values for the different alternatives also states of nature
Here are fifty observations on the weight of tea bags. Create mean, mode and median.
If there are 5 choices for a question and there is a 50% chance that the student knows the answer, what is the probability that the student knew the answer to a question he correctly answered?
At.05 significance level, can we conclude that larger proportion of the agents think the economy is expanding this month?
Environmental Protection Agency (EPA) fuel economy estimates for automobile models tested recently predicted a mean of 24.80 mpg and a standard deviation of 6.2mpg for highway driving. Assume that a normal model can be applied.
Evaluate 2-month moving average and Exponential smoothing by MAD.
Determine the range and standard deviation of the times.
Using goodness-of-fit test and.01 level of significance, find out whether accidents are evenly distributed all through the day. Write a short description of your conclusion.
Fit a multiple linear regression model for predicting the hospital duration using age, sex, body temperature, white blood cell counts, antibiotic use, blood culture and service
State the values of the coefficient of correlation and coefficient of determination correct to three decimal places
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