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Snow goose feeding trial. Writing in the Journal of Applied Ecology (Vol. 32, 1995), botanists used multiple regression to model the weight change (y) of a baby snow goose subjected to a feeding trial. Three independent variables measured are listed below. Classify each as quantitative or qualitative.
(a) Diet type (plant or duck chow)
(b) Digestion efficiency (percentage)
(c) Amount of acid-fiber detergent added to diet (percentage)
Find the probability that a randomly selected student has a runny nose and Find the probability that a randomly selected student has a sore throat or a runny nose
When calculating confidence interval estimates...how is the x and standard deviation calculated? How to calculate one sided 95% confidence limits for a proportion.could you provide a formula ?
sales 2363 2.1 advertising - 279 price - 136 unemplpyment r2 .76units of measurement sales is in product units
Scores on the ACT test have a mean of 21.1 and a standard deviation of 4.8. which is relatively better: a score of 1840 on he SAT or a score of 26.0 on the ACT test? why?
Once again, suppose that the standard deviation of the average or median is $5.00. Which is the probability that the average or median of the sample is greater than $22.50 but less than $25.00?
Findout either the given correlation is significant at given level of significance. Illustrate what does sample size have to do with the significance of r.
An insecticide company exposes 10,000 cockroaches to its newest product, and exposes another 10,000 to their previous formula.
an article suggests that a poisson process can be used to represent the occurrence of structural loads over time.
Actuaries work with statistics and probabilities each day. What do actuaries do and what tests do they take? Find a video that provides help with learning probability.
Assume that the two tests use different scales to measure the same aptitude. If someone gets a SAT score that is the 67th percentile, find the actual score and the equivalent ACT score.
A continuous random variable, x, is normally distributed with a mean of $1000 and a standard deviation of $100. Convert each of the following x values into its corresponding z-score.
Determine the critical regions for test in terms of the sample mean, what is the probability of a type II error for this test if the true mean is in fact 195 mg and what impact would reducing the sample size have on the type I and type II errors?
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