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Suppose many samples of size 49 are selected from a population with a mean = 225 and a standard deviation = 14. What distribution shape would you expect for your x-bar's? Why?
The area under the density curve that lies to the right of 12 is 0.405. What percentage of all possible observations of the variable are at most 12?
An airline has classified its customers as high-volume travelers (assumed to be business travelers) or low-volume travelers (assumed to be leisure travelers). Eight-five (85) percent are high volume
Your firm has 4 different manufacturing lines that each produce the same type of widget. There is a 95 percent chance that each line is functional on any given day. Assuming a Bernoulli process wha
Calculate the percentage of variance accounted for (r^2) to measure the effect size for an 8-point mean difference and for a 12-point mean difference.
What is the mean of the binomial distribution? What is the variance of the binomial distribution? What is the standard deviation of the binomial distribution?
Let X be a negative random variable with parameter r, p. Prove that E(X) = r/p by expressing X as a sum of indicator random variables.
A random sample of 15 teachers from Rhode Island has an average salary of $35,270, with a standard deviation of $3,256. A random sample of 30 teachers from New York has an average salary of $29,512,
You conducted a t-test in your capstone research. You did not find a statistically significant difference between your groups even though your sample size was relatively small. Upon conducting a pos
Assume that you are expecting a medium effect size, α = 0.05, and a minimum power of 0.80. Your experiment utilizes three (3) groups. What is the required sample size (a priori)? How m
You conducted a Chi-Square Goodness of Fit Test in your ASCI 691 capstone project. Unfortunately, you did not get the sample size you had hoped for during your research. You were able to get 55 in t
What value of k will give the lowest expected number of tests that have to be performed? what is the expected number of tests?
In addition, Martinez has decided that there should be at least six ads on TV or radio or some combination of those two. The amount spent on billboards and newspapers together must not exceed the am
Use linear programming to determine how many units to produce in each month on regular time and on overtime to minimize the total cost while meeting the demands
You are interested to know if your shop in the suburbs has customers of the same age as your shop in the center of the city. Statistics of customer ages are: Suburbs: X= 38, s = 3.5, n = 19 City Ce
Compute the 95% confidence interval for the population mean. Round your answers to three decimal places. Write your answer using parentheses and a comma, in the form (n1,n2).
Suppose we know grades on final exam in a statistic course are normally distributed with a mean of 72 and standard deviation 15 so find the first,second, and third quartiles?
A treatment is administered to a sample selected from a population with a mean of mue = 80 and a standard deviation of 10. After treatment, the effect size is measured by computing Cohen's d, and a
Left-Handedness: Frank suggest that being a "south-paw" is gender-related. Test Frank's assertion at a 5% level test of significance. The data as are follows:
Bags of a certain brand of tortilla chips claim to have a net weight of 16 ounces. Net weights actually vary slightly from bag to bag and are Normally distributed with mean μ.
A representative of a consumer advocate group wishes to see if there is any evidence that the mean net weight is less than advertised and so intends to test the hypotheses
A study reports the results of a regression analysis based on n=15 observations in which x = filter application temperature and y=% efficiency of BOD removal. Calculated quantities include:
Estimate the true proportion of all such students who own a Texas Instruments calculator. Of the 9 students who owned a TI calculator, 4 had graphing calculators. Estimate the proportion of students
The probability that a person owns a car P(Car) = 0.80, that a person owns a boat P(Boat) = 0.30, and that a person owns both a car and a boat P(Car and Boat) = 0.12. Find the probability that a per