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According to one study that looked at the percent of left-handed people by state, 11.6% of people in Indiana are left-handed. You survey 15 Indiana residents at the state fair and ask whether they are left-handed. Call the random variable in this scenario X. a) What is a "success" in this situation and what is probability of success on a single trial? b) Explain in words what X is in terms of the story and what values it can take on. c) What are the distribution and parameters of X? d) What is the probability that exactly 2 will be left-handed? e) What is the probability that at MOST 2 will be left-handed? f) How many would you have to survey in order to be at least 95% sure that you find at least 1 who is left-handed?
What is wrong with only inspecting the peaches on the top of the barrel? How could you improve your inspection process?
Analysis of variance (ANOVA) is used to determine if there is a difference between the means of different populations. This is an example from a student in Prescott Arizona.
What is your decision regarding the null hypothesis and interpret.
Develop a scatter diagram for the data and write a brief summary.
A random sample of 150 voters yields 87 who support her. The candidate wishes to test her claim at the 0.05 level of significance. Compute the value of test statistic.
Use the average of 2001, 2002 and 2003 as the base and determine indexes for 2005 and for the preliminary 2006 data using 100 as the base value.
For a sample of 120 students selected at random, what is the mean and variance of the number of students who watch this game?
What variables that affect blood pressure might confuse the comparison of average blood pressures for users and nonusers?
How many drinks do we have to sample if we wish the length of the 95% confidence interval of the mean to be 0.1 ounce?
If you have a population that has a small sample, but does not meet all of the criteria for the nonparametric test how can you tell what test to use?
Find the upper and lower control limits for x and r charts for the width of a chair seat when the sample grand mean (based on 30 samples of 6 observations each) is 27.0 inches, and the average range is 0.35 inches.
Use the study to estimate the risk of an air bag fatality on a child seated on the front passenger seat.
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