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The following output comes from a 2x2 factorial ANOVA analysis done on a dataset of Apgar scores. Apgar scores are a method for quickly and reliably summarizing the health of a newborn infant (lower scores indicate worse health, higher scores indicate better health). Based on the data provided below, write your conclusions about the effects of a baby's gender and a mother's smoking habits (smoker or nonsmoker) on Apgar scores. How do we interpret the results.
Use a 0.05 significance level to test the claim that whether the subject lies is independent of the polygraph indication. What do the results suggest about the effectiveness of polygraphs?
The data set for the assignment is about breast cancer. Some of these data have been changed for the purposes of this assignment so the results from the analysis of this file may not reflect findings in the literature or current clinical knowledge. H..
Assume the population standard deviations are the same. At the .10 significance level, can we conclude that the annual rates of return are higher on the big board?
The average public elementary school has 450 students. assume the stand deviation of the distribution is 99. if a random sample of 36 public elementary schools is selected, find the probability that the number of students enrolled is between 445 a..
Shank's, Inc., a nationwide advertising firm, wants to know whether the size of an advertisement and the color of the advertisement make a difference in the response of magazine readers.
Committee were chosen from among the workers without regard to gender: Does this represent a binomial random distribution? Why?
According to the U.S National Center for Health Statistics, the mean height for adult American males is mu = 65.5 inches. Assume the heights are normally distributed with standard deviation of sigma = 3.2.
What is the probability of there being two or more customers in the system?
What is the probability of randomly selecting a sample of 30 scores which has a mean attention span equal to or greater than 17 minutes.
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n=10, you determine that r=0.80.
Median can be a more suitable measure of central tendency than mean if distribution of data is extremely skewed.
Formulate the appropriate testing hypothesis problem and carry out the test if a = 0.05.
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