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Find examples in the research that utilize the independent and dependent t-tests that are used to answer a question. Find the t value and its associated p value. Determine and evaluate the effect size and comment on the impact of proposed difference. Ask yourself and comment on your level of satisfaction with the "practical" significance of the findings.
Ninety of the sample students are in the Business College, 120 are in the Liberal Arts College, and 90 are in the Education College.
Survey to determine what proportion of new car buyers continue to have their car serviced at the dealership after warranty ends. Estimates 30% of customer do so.
Can you provide another explanation for this one: Zc/Tc for 86% confidence interval when the sample size 50?
The weekly output of a steel mill is a uniformly distributed random variable that lies between 110 and 175 metric tons. Compute the probability that the steel mill will produce more than 150 metric tons next week.
If demand is normally distributed, a basic EOQ is appropriate. a single-period model could not be appropriate. we should produce to fill demand, rather than filling it through orders.
When the data have the properties of ordinal data and the interval between observations is expressed in terms of a fixed unit of measure, the variable has which scale of measurement
Now assume that θ2 > 0 (with probability 1), and let δ1 hat be the Bayes estimator of 1/θ2 under the setup above. Show that δ1δ2 hat is the bayes estimator of θ1/θ2 , given x = (X1, X2).
For planning purposes, the hospital physician staff wold like to know the probability that a given patient is a smother is the patient has a serious illness.
An upper-level sociology class at a large urban university has 120 students, including 34 seniors, 57 juniors, 22 sophomores and 7 freshmen.
Develop a probability for the number of students in the sample who watch soap operas.
Suppose that the number of cars, X, that pass through a car wash between 4:00pm and 5:00pm on any sunny Friday has the following probability distribution:
In Excel use the Descriptive Statistics and comment on the mean, the skewness, the standard deviation and kurtosis.
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