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A random sample of 93 observations produced a mean of x=25.5 and a standard deviation of 2.8.
a. find a 95% confidence interval for u (mean?)b. find a 90% confidence interval for u (mean?)c. find a 99% confidence interval for u (mean?)
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A random sample of n=100 observations is selected from a population with mean of 29 and sandard deviation of 21. Approximate the probabilities shown below
a. P(x=(mean) greater than or equal to 28)
b. P(22.1 less than or equal to x =(mean) less than or equal to 26.8)
c. P(x=(mean)less than or equal to 28.2)
d. P (x=(mean) greater than or equal to 27.0)
Use descriptive statistics to explain how parental involvement and interests in child's education can impact on educational attainment measured in terms of their numeracy (v24_7), literacy (v28_7) and creativity skills (v25_7 and v26_7)
Using the original data, estimate the population standard deviation with 90% probability.
Investigate the comparative pros and cons of the mean and the median. Find examples where the mean is more appropriate than the median and vice-versa. Discuss the locations of the mean, median and mode for a normal, left-skewed and right-skewed di..
A manufacturer of dodge balls uses a machine to inflate its new balls to a pressure of 13.5 pounds (σ =0.1). When the machine is properly calibrated, the mean inflation pressure s 13.50 pounds, but uncontrollable factors can cause the pressure of ..
What is the distinction between a one-sided and a two-sided hypothesis test in this problem?
The standard deviation of the differences d for the paired sample data s d = ____________
Variance of 4.2 and mean of 23.2 were calculated. Find out 95% confidence interval on mean and standard deviation. Describe any potential problems with this analysis.
You are looking at two used cars at a dealership. They are both the same year, make, model, color and price. You decide to ask the salesman which is more reliable.
Construct a 95% confidence interval estimate for the population proportion of administrative professionals who prefer cash bonuses.
You calculate the difference in income as (after incentive plan - before incentive plan). You want to test whether income after the incentive plan is different from income before the incentive plan. What are the hypotheses for this test?
A human resources director, on learning about the regression effect, decides to hire people who have been fired by their previous employer for poor performance.
Suppose that 98% of the customers in your market have Internet access, and you select a random sample of 500 customers. What is the probability that the sample has:
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