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The length of a Colorado brook trout is normally distributed. What is the probability that a brook trout's length:
a) exceeds the mean? Is my answer of .50 correct?
b) exceeds the mean by at least 1 standard deviation? Is my answer of 0.1587 correct?
c) exceeds the mean by at least 2 standard deviations? Is my answer of 0.0227 correct?
d) is withing 2 standard deviations? Is my answer of 0.9544 correct?
At a 5% level of significance, is there evidence to conclude that the mean life is different from 375 hours?
Compute the value of z and state your decision regarding the null hypothesis.
If 900 users visited the site, would the probability that more than 250 of them click on an ad be higher or lower than the answer found in part
If we were to repeat an experiment a large number of times and calculate a statistic such as the mean for each experiment, the distribution of these experiments would be called?
Using this information, calculate Blpha risk (probability of Type II error) if the true population mean really is 81.
A. What is the 90% confidence interval for the daily sales at all restaurants. B. What is the probability that the average sales are really $32,000 or more per day? Assume that the population average is $30,000 per day and the std. Deviation is $2..
Can you please give one example of a Qualitative data and one example of a Quantitative Data that you face daily? Please explain why it is a Quantitative or Qualitative data and describe the scale of measurement.
Obtain the simple linear regression equation, then analyze the residuals by (a) constructing a histogram
To find out the probability that the age of a randomly selected CEO. The average age of CEOs is 56 years. Suppose the variable is normally distributed.
Compute the score based on their appropriate class means and standard deviations:
Carry out the suitable calculations to test for effect modification. Interpret your results.
A certain firm specializing in the manufacture and sale of free time clothing has 80 retail stores in Florida and 140 in California. With each state as a stratum, the firm wishes to estimate average sick-leave time per employee for the past year
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