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Problem 1:
You've recently began to notice the "filler" words, such as "um" and "ah", that people use when they speak.You suspect that there may be gender differences in how often people use these words. To test this idea you compare the frequency of occurrence for "um" in a sample of 14 males and 14 females speaking extemporaneously for 4 minutes on the topic of their family history. What should you conclude based on these data? Explicitly indicate all the steps in your evaluation of these data. (Data at right.)
Problem 2:
A professor thinks that in-class attendance for courses that also have a CUOL section, such as PSYC/NEUR 2002 (i.e., where section B is the in-class section and section V is the CUOL version) will be less in the in-class section compared to courses that do not have a companion CUOL section. Midway through the term she obtains the percentage of students attending 12 in-class sections that also have corresponding CUOL sections. She compares these percentages to the mean percentage of students attending all courses that same day that do not have a corresponding CUOL section. The mean attendance for all the nonCUOL courses is 70%, with a SD = 5.6%. Do the results support the professor's hypothesis ? Explicitly indicate all the steps in your evaluation of these data. (Data at right; % of attendance refers to attendance in the in-class sections for courses that also have a corresponding CUOL section.)
Problem 3:
A cognitive psychologist was interested in whether lists of words consisting of high frequency words versus lists consisting of low frequency words would be better remembered. Sixteen participants were each presented 12 lists of words, with six lists consisting of high frequency words and six lists consisting of low frequency words. The mean percentage of correctly recalled words was calculated for each type of list for each participant. From the information provided on the right, does any difference exist between the recall of high versus low frequency words?
The average selling price of homes in a certain city is $372,200. Assume the variable is normally distributed with a standard deviation of $37,200. If 437 homes are for sale, how many homes will sell for more than $349,880?
Give the 95% confidence interval.
The data to the right compared the price of some kitchen staples at four different supermarkets located in the same city. Complete parts (a) through (d). Item A B C DHalf-gallon_Milk 1.94 2.29 1.52 1.33Dozen_Eggs 2.28 2..
A. Question 1: A study of voting chose 663 registered voters at random shortly after an election. Of these 72% said they had voted in the election. Election records show that only 56% of all registered voters voted in the election. The boldface n..
Using the data on the growth rate of Money and inflation, run a regression of the rate of inflation on the rate of growth of the money supply
A study of the nutrition of dialysis patients measured the level of phosphorus in the blood of a patient on 30 occasions. The mean phosphorus level for this patient was 5.2 mg/dl and a population standard deviation for all dialysis patients of 1.0 m..
The average Monthly rent for one bedroom apartments in Chattanooga has been $700. Because of the downturn in the real estate market, it is believed that there has been a decrease in the average rental. State the null and alternative hypothesis
Let X~N(2,6) and Y~N(-3,2) and Z~N(0,1). All three random variables are independent of each other. Do the following. a. What is the distribution of W=X+Y+Z? What are E(W) and Var(W)? b. What is the distribution of Q=2Y?
Describe the error in the conclusion. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. As the number of cigarettes increases the pulse rate increases. Conclusion: Cigarettes cause the pulse rate to incr..
Calculate the 90% confidence interval for the population mean of health men's pulse (sphygmus) in mountainous area.
An analysis was done to see if there was a correlation between the number of days of class missed and a student's GPA.
Degraded state is detected with probability 0.9 (failed state with probability 1) and repair occurs in both degraded and failed states. Repair starts immediately upon detection of the failed or degraded state and restores the system to the oper..
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