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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 times spent on studying statistics follow a normal distribution. Throughout the course's duration, students were claiming that they were following the instructor's recommendation. At the course's 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.
Randomly select a sample of five rental agencies. Start with row two and column two. The number is 90935. Use the first two numbers starting with 90.
Suppose each employee in the company receives a $3000 raise for next year (each employee's salary is increased by $3000). The interquartile range of the salaries will
The heights of young women are approximately normal with mean 65 inches and standard deviation 2.5 inches.
Find at least what percentage of all homeowners in this city pay a monthly mortgage of 865 to 1,675.00.
A sample of approx 25 students enrolled in the university points out that X (bar) = $315.4 and s = $43.20.
Which combination of factors has greatest likelihood of rejecting null hypothesis?
A simple random sample of 1000 Americans found that 61% were satisfied with the service provided by the dealer from which they bought their car.
Analysis of data sets assignment
For each year, create a bar chart and a pie chart.
Assume that the number of left-handers is a binomial random variable. (Refer to the formula for mean and standard deviation for binomial prob. Distribution)
A school tracks the absences of pupils as part of a flu surveillance system. Regular reporting of absences among 25 students in grade 1 are taken, and based on these data, the long-run proportion of absences under normal conditions is estimated to..
Looking at the data, the manufacturer is incorrect in its label claim. Perform hypothesis testing to prove or disprove it. Is the manufacturer correct in its label claim? Explain.
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