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A lunch stand in business district has mean daily gross income of $420 with the standard deviation of $50. Suppose that daily gross income is normally distributed. Determine the relative frequency corresponding to daily gross income of $520 or more?
It is estimated that the probability that the general population will live past their 85th birthday is 5.4%. Use the standard normal distribution to approximate this Binomial problem and answer the following questions.
If the sample size is 36 with three treatment means (response variables) and you are performing an ANOVA, then the degrees of freedom for the error term will be:
Analysis of variance (ANOVA) is used to determine if there is a difference between the means of different populations. This is an example from a student in Prescott Arizona.
There are three nursing positions to be filled at Lilly Hospital. Position one is the day nursing supervisor; position two is the night nursing supervisor; and position three is the nursing coordinator position.
Describe a real-life situation where Pascal's Triangle can be used to calculate probability. Is this the best method for solving your calculation?
Analyze the data using linear contrasts to make the following comparisons:
Suppose that = $7600, is there adequate evidence to conclude that mean annual wage of people from this county is signicantly dierent than state mean?
Calculate the mean and the standard error of the sampling distribution of the sample means. Also, find the mean and standard error of the sampling distribution for samples of size 5.
Determine sample size requirements. When the results are available you would like your margin of error to be plus or minus 5% for the satisfaction measure and plus or minus $1.50 for the spending value.
Determine marginal probability distributions of X and Y . Compute conditional probability P ( Y = 2 | X = 1)
Suppose that in order to satisfy legal requirements, a meat pie manufacturer may only produce .2% of pies below a weight of 750grams. If the preceding holds and if the weight of all pies is normally distributed with a standard deviation of 50 gram..
12 mature citrus trees of one variety and 15 of another gave means and standard deviations of their heights as 13.8 and 12.9 ft (means), and 1.2 and 1.5 ft (standard deviations).
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