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Q1) At certain college, there were 600 science majors, 200 engineering majors, and 500 business majors. If student is chosen at random, determine the probability that student is engineering major?
Q2) According to Internet posting, 80% of adults enjoy drinking beer. If group of 3 adults is chosen at random, determine probability that none of them enjoy drinking beer.
Q3) Mean return for a random sample of 33 mutual funds is= 14.93 percent with standard deviation of 9.57. Create a 95% confidence interval for mu, population mean.
a) 11.54 to 18.32
b) 11.01 to 18.85
c) 14.82 to 15.04
d) 0.95 to 18.91
Q4) Sample mean is 50, t-statistic is 1.96, and standard error of sample mean is 2. Determine the 95 percent confidence interval?
a) 46 to 50
b) 46.08 to 53.92
c) 46.80 to 53.29
d) 48 to 52
Make a decision regarding the null hypothesis based on the sample information. Interpret the results of the test and state your conclusion.
Nine percent of undergraduate students carry credit card balances greater than $7000. Presume 10 undergraduate students are selected randomly to be interviewed about credit card usage.
The mean top of knee height of a sitting mate is 20.7 in.
Describe what the researcher must do if one of the requirements is not met and give illustrations.
Determine SSE, SS (Total) and the explained sum of squared variation SSR and find the estimated y intercept slope and write the regression equation.
Determine the probability of randomly selecting a person graduating with Master's degree who didn't major in Education.
What is the probability that the drug will be effective for 3 hours or more?
No, there is not enough information to refuse hypothesis that proportion of male students who live on campus and proportion of female students who live on campus are same as the test value -1.65 is inside acceptance region (-1.96,1.96).
Results are comparable to what could be expected in human serum. Are true binding percentages for five antibiotics tested all equal? Let α = 0.05.
Assume that the distribution of heights of adults American normally distributed, with mean 69 inches and standard deviation 2.8 inches.
Given this, compute the following probabilities for demand during lead time(DDLT).
Compute an F-statistic for each linear construct and determine its significance.
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