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A method of determining if relationships exist between two variables is:
a) scatter diagram and correlation coefficient
b) pie and bar charts
c) the normal distribution
d) pareto charts
A consumer survey indicates that the average household spends m=$155 on groceries each week. The distribution of spending amounts is normal with a standard deviation of o=$25. Based on this distribution
This is called a one-time fling. About 10% of all adults deliberately do a opne-time fling and feel no guilt about it!
Identify a research question from your professional life, research interests, or everyday experience that could be addressed by this analysis.
A sample of n= 16 scores has a mean of M = 45 and SS = 960. Calculate the sample standard deviation (s) and the estimated standard error for the sample means (SM).
The data in the scatterplot below are an individual's weight and the time it takes (in seconds) on a treadmill to raise his or her pulse rate to 140 beats per minute. The o's correspond to females and the +'s to males.
Discuss any limitations (inaccurate data; incomplete information; not enough samples for testing)can have an regression analysis.
The mean of a normal probability distribution is 60; the standard deviation is 5.
If campaign can be expected to also to rise the probability of best case scenario to 0.4, is it a good investment.
(A) What sums are needed to calculate a correlation coefficient? (B) What are the two ways of testing a correlation coefficient for significance?
Why might supposition of normal population be doubtful? Problem arises when?
Find a 99% confidence interval for the mean pH in rainfall and interpret the interval and what assumption must be made for the confidence interval to be valid?
What is an example of two variables that are likely to be correlated because they are both changing over time?
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