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Research results suggest that IQ scores for boys are more variable than IQ scores for girls (Arden & Plomin, 2006). A typical study looking at 10-year-old children classifies participants by gender and by low, average, or high IQ. Following are hypothetical data representing the research results. Do the data indicate a significant difference between the frequency distributions for males and females? Test at the .05 level of significance and describe the difference.
Boys IQ: Low 18 Average 42 High 20
Girls IQ: Low 12 Average 54 High 14
A sample of size 36 results in a sample mean of 7.1. The value of the test statistic is ____
Given the following data, use exponential smoothing with a=0.2 and a=0.5 to generate forecasts for periods 2 through 6. Use MAD and MSE to decide which of the two models produced a better forecast.
Reading highway signs is not always easy, especially if your vision is imperfect. Vision in general tends to deteriorate with age. Two researchers conducted a study to determine if the distance at which a standard highway sign could be recognized ..
The IQ scores of 30 children from under-privileged households, were measured before and a year after, a program of nutritional supplementation was instigated at a primary school.
Based on the F distribution tables, what is the most accurate statement that can be made about the p-value for this test?
Find a 95% confidence interval for the population mean concentration of uric acid in this patient's blood. (Round your answer to two decimal places.)
What are some real life examples of the use of Chi-Square tests using contingency tables? Why is a test, which is testing significant differences among means called Analysis of Variance?
In a group of six professors selected at random, what is the expected number of extroverts? What is the standard deviation of the distribution?
Finding appropriate z- and t-scores is important when constructing confidence intervals. Confidence intervals allow one to estimate important population parameters such as population mean, population proportion, population standard deviation, etc.
State the quick rule for a significant correlation and explain its limitations. What sums are needed to calculate a correlation coefficient? What are the two ways of testing a correlation coefficient for significance?
Why do so many of life's events share the same characteristics with Central Limit Theorem? Why are estimations and confidence intervals important?
The study does provide sufficient evidence to support the claim that less than 75% of college student spend less than $250 per semester on textbooks.
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