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A manufacturer of clay roo?ng tiles would like to investigate the effect of clay type on the proportion of tiles that crack in the kiln during ?ring. Two different types of clay are to be considered. One hundred tiles can be placed in the kiln at any one time. Firing temperature varies slightly at different locations in the kiln, and ?ring temperature may also affect cracking. Discuss the design of an experiment to collect information that could be used to decide between the two clay types. How does your proposed design deal with the extraneous factor temperature?different types: one focusing on low interest rates, one featuring low fees for ?rst-time buyers, and one appealing to people who may want to re?nance their homes. The lender would like to determine which advertisement format is most successful in attracting customers to call for more information. Describe an experiment that would provide the information needed to make this determination. Be sure to consider extraneous factors, such as the day of the week that the advertisement appears in the paper, the section of the paper in which the advertisement appears, or daily ?uctuations in the interest rate. What role does randomization play in your design?
Psychological Statistics
suppose that in elections a candidate says that hell get 60 of the votes in the election. the total population is 300
Assuming the manufacturer's claim is true, what is the approximate probability of observing a sample mean of 52 months or less?
All standard IQ test scores are normally distributed and are set up so that the mean score is 100. However, the standard deviation differs from test to test.
warren county telephone company claims in its annual report that the typical customer spends 61 per month on local and
four people are randomly from a group consisting of six men and six women. what is the probability that the group will
calculate a 99 confidence interval for the true mean of a bearings diameter when a sample of 16 of the bearings have a
the salinity in the ocean is expressed in parts per thousand ppt. during november 2008 the mean salinity in a region of
In a different regression analysis, 40% of the variance was explained. The sum of squares total is 1000. What is the sum of squares of the predicted values?
pieces of vulcanite were examined according to porosity and dimensional defects and the results are shown below. test
The times needed to fall asleep are assumed to follow a normal distribution. The results for the two nights for the ten volunteers are shown below:
BMI in children is roughtl normally distributed with the mean of 24.5 and standard deviation of 6.2. BMI of 30 or more is considered obese. Determine proportion of children are obese?
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