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An account invested in a money market fund grew from $73,329.23 to $73,627.26 in a month. What was the interest rate to the nearest tenth?
What was the interest rate? ( ? % )
(Do not round until the final answer. Then round to the nearest tenth as needed.)
Drug sniffing dogs must be 95% accurate. A new dog is being tested and is right in 46 of 50 trials. Find a 95% confidence interval for the proportion of times the dog will be correct.
Select the variable team salary and find the mean, median, and the standard deviation
Using the .05 significance level, can we conclude that there is a positive association between the two variables?
Design a Linear programming problem for the flair Furniture Company and find the combination of tables and chairs that the company must produce to maximize profits.
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?
Carry out the ANOVA and, if essential, post-hoc comparisons. Make a graph to represent group differences, and interpret ANOVA in a paragraph written in APA style.
Suppose a wildlife service wishes to estimate, with 99% confidence, the mean number of days of hunting per hunter for all licensed hunters in the state during a given season, with a bound on the error of estimation equal to 2 hunting days.
Normal distribution has mean of 80 and standard deviation of 14. Find out the value above which 80 percent of values will occur.
A statistical study reported that a drug was effective with a p-value of .042. (a) Is this true? An effective sample may be found about 42 times in 1000 samples.
The lifetime of a light bulb is an Exponential RV with a mean of 800 hours. Let L represent the time (in hours) that one randomly selected light bulb will burn. What is the possibility the light bulb burns for more than 1000 hours.
What is the probability of getting a number less than 5 on both?
Utilizing the .05 level, do the results support the psychologists' theory. Elucidate your answer to somebody whom has never had a course in statistics.
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