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Let p1 = 100 and n1 = 500; and p2 = 200 with n2 = 500. Test whether there is a statistical difference between the two proportions at the 5% significance level.
a. The difference is not statistically different.
b. The difference is statistically different.
A pair of dice is rolled. What is the probability of each of the following? (Round your answers to three decimal places.)
Mean and standard deviation are 584.6 and 34.28
The lengths of pins produced by a machine follow a normal distribution with mean 2.54 cm and standard derivation 0.04 cm.
Whenever the calculated value of t is equal to or greater than the tabled value of t, for a given number of degrees of freedom, then
Create raw score predictions on criterion variable for persons with Z scores on predictor value of -2,-1,0,+1,+2.
Run a multiple regression and interpret all the findings, R 2 , F, IV coefficients, and the intercept. Then in paragraph format, identify and report the following:
Interpreting confidence interval for the P-value. Give an appropriated response. A weight loss center provided a loss for 72% of its participants.
To avoid the problem of not having access to Tables of F distribution with values given for the lower tail, the numerator of the test statistic should be the one with:
Let x be average number of employees in group health insurance plan and y be average administrative cost as percentage of claims. Determine sample correlation coefficient.
What is the expected value and variance for the number of contacts in eight attempts?
Compute a 95% confidence interval for the population proportion of positive drug tests. Explain why is the normality assumption not a problem despite the very small value of p.
X has a normal distribution with a mean of 80.0 and a standard deviation of 3.5. Find the following probabilities.
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