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Min. Calculate the following summary statistics for this data: mean, median, minimum, maximum, rst quartile (Q1 ), third quartile (Q3 ). Which measure of center would you prefer, the mean or the median? 0.00 0.00 1.50 34.83 39 414.00 The median of 1.50 is a better measure of the center than the mean of 34.83 because of the outlier value of 414 seconds. What is the sample variance and standard deviation for these 30 numbers?
The data results are based on serum continine levels for each group. The claim is that exposure to tobacco smoke (as second-hand smoke) corresponds to higher levels of cotinine.
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..
Examined the effect of body position on blood pressure
A simple random sample of 50 adults is obtained, and each person's red blood cell count (in cells per microliter) is measured. The sample mean is 5.23 and the sample standard deviation is 0.54. Use a 0.01 significance level to test the claim that ..
A contractor is considering a sale that promises a profit of $34,000 with a probability of 0.7 or a loss (due to bad weather, strikes, and such) of $16,000 with a probability of 0.3. What is the expected profit?
If the process mean remains at 12.05 oz, what must the standard deviation be so that 99% of the cans will contain 12 oz or more?
What is the 95% confidence interval for the proportion of smokers in the population (to 4 decimals)?
What are post hoc comparisons, and why do researchers make them? Why do researchers not use the Bonferroni procedure of procedures for post hoc comparisons?
Determine the probability, using binomial distribution, of obtaining 4 or more nonconforming units when sampling 30 computers from batch known to be 10% nonconforming.
Construct a 95% confidence interval on the population mean for the following sample data set:
What is the probability that a randomly-selected truck travels between 30 and 60 thousand kilometres in one year. Standard deviation of 12.0 thousand kilometres.
Prostate cancer are actually proven correct through subsequent biopsy. JBGHI demands a sample large enough to ensure an error of ± 2% with 90% confidence. What is the necessary sample size?
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