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Question: 1. Distinguish between the null hypothesis and the alternative hypothesis, giving the symbol for each.
2. List the three alternative hypotheses in the Doritos problem using symbols and numbers.
In your own words, outline the logic of null hypothesis statistical testing using technical terms and symbols.
A normal curve with a mean of 15.0 gal and standard deviation of 0.1 gal. What is the probability that a randomly selected tank will hold.
What is the interpretation of the coefficients that emerge from the regression equation. Can you predict a change in the y variable given knowledge of the x variable?
The standard error of the estimate (standard error) is the estimated standard deviation of the distribution of the independent variable and in Regression Analysis if the variance of the error term is constant, we call it the Heteroscedasticity prope..
Sixty percent of the managers who enroll in a special training program will successfully complete the program.
Compute the 90% confidence interval about m if the sample size, n, is 55. How does does increasing the sample size affect the margin of error, E?
The probability distribution function of a random variable, X is given by f(x)=k(x2 -1) where x=2,3,4,5 Let F(x) be the c.d.f of X.
The mean amount of a purchase at the Smith Hardware store is $23.50 with standard deviation of $5.00. The amounts purchased follow normal distribution.
You want to determine the percentage of Fortune 500 CEOs who think Indiana University (IU) deserves its current Business Week rating.
Two drugs, amantadine (A) and rimantadine (R), are being studied for use in combating the influenza virus. A single 100-mg dose is adminis- tered orally to healthy adults. The response variable is the time (minutes) required to reach maximum conce..
Let the population be given by the numbers {-2, -1, 0, 1, 2}. Take all random samples of size 3. (a) Without replacement, obtain the following in each case.
answer the following if the correlation coefficient is -0.53 what is the sign of the slope of the regression
Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you?
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