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Solve the following for x: 4(2^x)=56
In the order of operations Pemdas requires that exponentation takes precedence over multiplication, so we cannot multiply 4*2 without first evaluating 2^x, but we could divide both sides by 4. Also remember x is an exponent and we have to take logarithmic of both sides to bring the exponent down. Please help me with this.
What information is provided by the numeral value of the Pearson correlation? What is the major distinction between the Pearson and Spear man correlations?
According to the Sleep Foundation, the average night's sleep is 6.8 hours. Assume the standard deviation is 0.6 hours and the probability distribution is normal. a. What is the probability that a randomly selected person sleeps more than 8 hours?
What are planned comparisons? Why do researchers making planned comparisons need to make the Bonferroni correction? If a researcher is making four planned comparisons using the .05 significance level
The mean area of several thousand apartments in a new development is advertised to be 1250 sq. ft. An engineer measured a random sample of apartments:
Compute the mode, median and mean for the college students and compute the mode, median and mean for the parents' data
While exploring data that was collected for an investigation of resources needed for software testing and improvement, you have found an outlier.
Use the normal approximation to estimate the probability of at least one disaster in 25 missions.
A rental agent claims that the mean monthly rent, mu, for apartments on the east side of town is less than $725. A random sample of 13 monthly rents for apartments on the east side has a mean of $724
Suppose that women's weights are normally distributed with the mean given by mu=143 lb and standard deviation given by sigma=29 lb.f 1 woman is arbitarily selected, determine the probability that her weight is below 113
When coaching or training athletes, the tests employed to predict performance or determine training methods incorporate statistical methods. Why are these methods so effective?
How large a sample is required to estimate the mean speed with a margin of error equal to 2 miles per hour with 90% confidence?
Develop three regression models to predict the selling price based upon each of the other factors individually. Which of these is best?
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