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A starting lineup in basketball consists of two guards, two forwards, and a center. A certain college team has on its roster three centers, four guards, four forwards, and one individual (X) who can play either guard or forward. How many different starting lineups can be created?
What is the probability that no more than two of the three are commercial successes?
The following data (in pounds), which were selected randomly from a normally distrubuted population of values, represent mearsurements of a machine part that is supposed to weigh, on average, 8.3 pounds.
Construct a scatterplot and identify the mathematical model that best fits the given data. Assume that the model is to be used only for the scope of the given gata, and consider only linear, polynomial (degree 2) logarithmic, exponential, and powe..
Suppose a candidate running for sheriff claims that she will reduce the average of emergency response to less than 30 minutes. (30 minutes is thought to be the average response time with the current sheriff.)there are no past records, so the actual s..
A roulette wheel has 38 slots, numbered 0, 00, and 1 to 36. The slots 0 and 00 are colored green, 18 of the others are red, and 18 are black.
A random sample of 85 group leaders and supervisors revealed that they worked an average of 6.5 years before being promoted. The population standard deviation was 1.7 years. Using the 0.95 degree of confidence, what is the confidence interval for ..
The mean number of nonconforming coil springs in a batch is 5. Assume that the number of nonconforming springs in a batch, denoted as X, is a binomial random variable. What are n and p?
Is there sufficient data to determine that these student data reflect population data? Determine using alpha .05 as critical value.
What is the probability of getting a sample mean larger than $135 per hour?
What are the differences among a proportion, a percentage, and a ratio? When would a researcher use a hypothesis test for the difference in two population proportions? Explain.
The columns represent length of customer loyalty (in years) at a primary supermarket. The rows represent regions of the United States. What is the probability that a customer chosen at random has been loyal 10 to 14 years?
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
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