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Based on the 2x2 contingency table posted below calculate the chi square test to see if the result rejects the null hypothesis. You can calculate this long hand or use a standard calculator such as found at this site. State your opinion as to the significance of your findings in the module 8 discussion area.
the central limit theorem helps researchers answer questions abouta. sample means for small sample sizes.b. sample
the student newspaper called campus press polled a simple random sample of 280 undergraduate students in order to study
Suppose that the continuous-time stochastic process {X(t),t ≥ 0}, whose state space is {0,1}, spends an exponential time with parameter 1 in a state the first time it visits this state.
These data were collected using a telephone interview with pet owners in Mishawaka, Indiana. The animal shelter was run by the Humane Society of Saint Joseph County. The control group data were obtained by a random digit dialing telephone survey. ..
suppose that the amount of time between consecutive surges in an electricity network has an exponential distribution
Solve manually and then by mega stat. Indicate your decision rule, your hypotheses and your statistical and management conclusions."
a box contains n marbles each of which is labeled by engraving by one of the integers 1 2 . . . n. two of the marbles
Consider the (4 X 4) covariance (correlation) matrix of Example 3.2. Verify the results of Theorem 3.8. Also verify that latent vectors of P are orthogonal unit vectors.
you plan to develop a new software system that you believe will surpass the success of google and facebook combined. in
three different assembly methods have been proposed for a new product. a completely randomized three different assembly
Identify the business strategy used and critique one strength and one weakness of the strategy. Explain the research processes used, as well as the strengths and weaknesses associated with them.
Determine the three-month and five-month centered moving average curves and superimpose each on the original time series.
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