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Discuss why the independent t-test is called independent. What does this analysis have to do with variance within and between groups? What might be some other questions to help understand this topic?
Provide a brief description of the variable and whether the scale of measurement is nominal, ordinal, interval, or ratio, and why. Explain what it means to say that this variable is "normally distributed."
Assume the observed value of the test statistic is 1.53. What is the smallest level for which there is sufficient evidence to reject H 0 (i.e. the p-value for this test)?
Using a level of significance of .05, is there evidence that the dual degree students are receiving lower grades? Explain.
What are the limitations and assumptionbs of the t-test? What are some examples in your field (Nursing) for which you might use a t-test to compare a sample to the population and why?
Nine percent of undergraduate students carry credit card balances greater than $7,000. Suppose 10 undergraduate students are selected randomly to be interviewed about credit card usage.
A unit for a telecommmunication system is to be designed so that the probability that it fails during a period of five years does not exceed 0.4. the unit is to be made up of (n) effectively identical componants each with an exponential failure di..
The first three digits of a university telphone exchange are 452. if all the sequences of the remaining four digits are equally likely, what is the probability that a randomly selected universtiy phone number contains seven distinct digits?
If one person is selected at random, what is the probability that person is Female?
The random variable X is the distribution of siblings of a student selected at random from a particular secondary school. Its probability distribution is given in the table.
In Major League Baseball there are five teams in the Western Division of the National League: Arizona, Los Angeles, San Francisco, San Diego, and Colorado. How many different orders of finish are there for these five teams?
Compare the differences of Simple random sampling & Cluster sampling using specific examples, and show the pros and cons of each method.
A DVD rental store wants to know what proportions of its customers are under age 21. A simple random sample of 500 customers was taken, and 375 of them were under age 21. Presume that the true population proportion of customers under age 21 is 0.6..
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