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At the beginning of last year, a power company asked each of its industrial customers to estimate how much electricity it would require during the year. At the end of the year, the power company recorded the extent to which a customer's estimate was over or under the amount of electricity actually used. In data file XR13083, customers are described according to their size (1 5 small, 2 5 medium, 3 5 large) and the extent to which their usage differed compared to their estimate (1 5 used more than 110% of estimate, 2 5 within 10% of esti- mate, and 3 5 used less than 90% of estimate). At the 0.025 level of significance, test whether customer size might be independent of estimation accuracy.
guy thinks that nba players in general are taller than high school basketball players. he has measured 5 nba players
Determine the conditions under which you would use a discrete probability distribution rather than a continuous probability distribution. Provide one (1) example to illustrate your reasoning.
assume the random variable x is normally distributed with mean u87 and a standard deviation o5. find the indicated
A box of 200 bolts of it known that 2% of such bolts are expected to be defective.(you may take the distribution to be poission; e-4=0.0183).
the acceptable level for insect filth in a certain food item is 4 insect fragments per 10 grams. a sample random of 50
To find a better model, use a transformation on length. One possibility is to use the square. Fit a least squares line using transformed length to predict weight. Write down the equation of the line (model).
a study is being planned to estimate the mean number of semseter hours taken by students at a college. the population
for the given margin of error and confidence level determine the sample size required. a researcher wants to determine
Describe a series of steps that could be used to write fractions like 3/4, 2/5, 5/6, 11/8, 3/10, 19/15, 7/20, 8/25, 9/40, or 17/50 in decimal form.
construct a frequency distribution table for these data. what type of graph would be appropriate to show the frequency distribution for these data?
So construct a multiple regression model for predicting the crime rate based upon various explanatory variables unemployment rate, median income, education level.
What statistical procedure was used to analyze data in study B, how many groups were compared in study B, how many subjects were enrolled in Study C and which study demonstrated the greatest level of statistical significance?
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