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Consider a normal population with μ=25 and σ=8.0.
A. Calculate the standard score for a value x of 23
B. Calculate the standard socre for a randomly selected sample of 45 with x=23
C. Explain why the standard scores of 23 are different between a and b.
Do you think that these types of statistics can ever be accurate? How could this statistic be biased? In what ways could scientists misinterpret the results of their studies and come up with an incorrect statistic? What are your thoughts?
Give a 95% confidence interval for the mean of the population from which the sample is drawn.
Find the average cost of a loaf of bread in your area and compute the cost per day for one year. (Remember that average is the mean, median, mode, and midrange, but choose the best for the data.) 1. What measures of central tendency did you use?
Given 7 male individuals in a Physical Education course, the number of sit ups each individual can do in a one minute period was recorded:
The researcher in exercise decides to conduct the same study using a within - participates design to control for differences in cognitive ability.
Determine the least squares line and forecast Y for an average weekly temperature of 63 - Is this a realistic value for the population mean of the client's account? Explain.
In checking the quality of the work, she notices that some slight blemishes occasionally are apparent. A sample of 20 pieces of work resulted in the following number of blemishes on each piece:
Assumed that the standard deviation of the difference in the mean number of drinks is 6.7 drinks.
What is the probability that the mean life-span of a sample of 64 randomly selected bulbs will exceed 727 hours?
Let X be a random variable uniformly distributed on the interval (0,1). Let Y be a new random variable defined as Y = X2. What is the probability density function of Y given by?
Compute a 95% confidence interval for the population mean, based on the sample 32, 38, 31, 34, 35, 32, and 36. Change the number from 36 to 14 and recalculate the confidence interval. Using the results, describe the effect of an outlier or extreme..
Make use of Excel to determine the right-tail p-value.
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