Confidence interval estimate of the unknown population
A sample of n = 9 scores is obtained from an unknown population. The sample mean is M = 46 with a standard deviation of s = 6. Use the sample data to make an 80 % confidence interval estimate of the unknown population.
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In each and every of the four examples listed below, one of the given variables is independent (x) and one of given variables is dependent (y). Point out in each case which variable is independent and which variable is dependent.
The number of wins in a season for 32 randomly selected professional football teams are listed below. Construct a 90% confidence interval for the true mean number of wins in a season.
Variation can be estimated by the sine curve. Write the equation which provides approximate variation y, if x is number of hours after midnight if high tide happens at 10:00 am.
Assume you have an equation y=cos(3(x-(165π/6)), and you do not have the sheet of graph paper that is mile long. Describe how to compute the equivalent phase shift which would give you correct graph.
Develop a 90% confidence interval for population mean, suppose the population has a normal distribution. A sample of 15 randomly chosen students has a grade point average of 2.86 with standard deviation of 0.78
Determine all rational zeros of polynomial, and then compute irrational zeros, if any. Whenever suitable, use rational zeros theorem, upper and lower bounds theorem
Describe the steps of the hypothesis test you employ and discuss why you chose that test. A wedding caterer randomly chooses clients from the past few years as well as records the months in which the wedding receptions were held.
You purchased this steer today at the market price of 1.50 dollars per pound. Though, market price is falling 2 cents per pound per day. When must you sell steer to maximize the profit?
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