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Raw data is difficult to understand and interpret. So, to explain and interpret the data for others, we need to use graphs and charts. Review the Google Chart Editor website. Select one graph or frequency chart for discussion and analysis. Populate the selected graph/frequency chart with fictitious data. Did your selected graph/frequency chart effectively portray the data?
How many bulbs should be tested so that we can be 90% confident that the estimate of the mean will not differ from the true mean life by more than 10 hours?
Is this result adequate to conclude that monkeys spent significantly more time with softer mother than would be expected if there were no preference? Use the two-tailed test with α = .05.
A vending machine that dispenses coffee into cups must fill the cups with 7.8oz of liquid. Before selling the vending machine to a college or business, the company tests the machine to be sure it is dispensing an average amount of 7.8oz of coffee.
The mean number of passengers per flight is 160 with a standard deviation of 20. The aircraft used for the route has 200 seats.
If the Sum of Squares for Treatments (SST) is 10% of SS(Total), and the Sum of Squares for Blocks (SSB) is 20% of SS (Total), find the F values for this experiment.
A population is normally distributed with the mean of 100 and a standard deviation of Would it be unusual for mean of sample of 3 to be 115 or more? Why or why not?
Assume that female students' heights are normally distributed with a mean given by µ = 64.2 in. and a standard deviation given by σ = 2.6 in.
What are the inequalites that define the region in the first quadrant. How about 2nd, 3rd and 4th quadrants?
In our discussions of basic probability theory the concepts of mutually exclusive events and independent events share prominent roles.
Consider a simple random sample of n=116 people. Denote by X the number of people in the sample that have the disease. Calculate the following probabilites. P(X=23)=?
High temp for January 1st is normally distributed with a mean of 40 degrees and a standard deviation of 5 degrees.
To investigate this belief, he randomly samples 41 adult women and records their weights. The scores have a mean of 111 lbs. and a standard deviation of 12.4. A local census taken several years ago shows the mean weight of adult women was 115 lbs.
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