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1. Describe the "third variable problem" as it relates to correlation and provide an example of how you might see this played out in your own field.
2. How does hypothesis testing contribute to the scientific knowledge base? Now that you have a general understanding of hypothesis testing, provide an example of how you might implement this in your work.
Based on a scatter diagram, would you estimate the linear correlation coefficient to be:
A population has a mean of 80 and a standard deviation of 7. A sample of 49 observations will be taken. The probability that the sample mean will be larger than 82 is?
The monthly income of residents of Dayton is normally distributed with a mean of $3000 and a standard deviation of $500.
Suppose that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 6 population means are not all equal. What should we expect?
What is the probability that the average IQ, from a random sample of 64 individuals, is greater than 102?
For the following hypothesis test where H 0 : m £10 vs. H a : m >10, we reject H 0 at level of significance a and conclude that the true mean is greater than 10 when the true mean is really 8.
A research company stated that 20% of missed school days are due to asthma. If a group of 400 school children are selected at random, what is the probability that fewer than 70 will miss school because of asthma?
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance and (d) standard deviation of probability distribution and (e) interpret results in context of real life situation.
What measure of central tendency is most sensitive to skewness and which is least sensitive? What are measures of central tendency used for? What are measures of dispersion used for?
When the names of all the students at Omega University were dropped to a fishbowl, they would include:
Is sample of 25 papers large adequate to give a good estimate of mean score of all 42,000 students on this exam problem? Explain your answer.
Make a decision regarding the null hypothesis based on the sample information. Interpret the results of the test and state your conclusion.
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