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The expression
Means:
a. In repeated samples, you are 95 percent certain that the value of x is µ.
b. Once you take a specific sample and calculate the value of x, you are 95 percent certain that the value calculated is µ.
c. The probability that population mean deviates from the sample mean is 95%.
d. Ninety five percent (95%) of the means from samples size n deviate from the population mean by no more than ± standard errors.
If the mean IQ of all Omega University students was equal to 115, and a small random sample of students was selected from the population whose mean IQ was 120, then this difference of 5 points would equal the:
Having obtained the z score and then derived the percentage... what does the percentage tell you?
let Xn be number of people selected until first person with non-blue eyes shows up, and let X be number of people select until first person with different eye color to preceding people shows up. Find out E(Xb), E(Xn) and E(X).
An important idea in data interpretation is choosing which graph to use under which circumstances. Describe the benefits of different graphs for different sets of data:
I believe this can be done by plotting out every 3 years average number of people working past 65 since 1997 until now and then making a predictability study as to number of people who will be working over the age of 65 in 2012.
in 2008 a university in the midwestern united states surveyed its full-time first-year students after they completed
Median score of 67. Based on this information, the distribution of test scores is symmetric, left skewed, right skewed, or bimodal?
What is the probability that there are at least 40 "Bright" people among 1000 randomly chosen people? I) What is the probability that there are no more than 5% of "Bright" people among 1500 randomly chosen people?
The null hypothesis is to be tested at 95% confidence. Determine the critical value for this test. What do you conclude?
A survey of 51 randomly selected students finds that on average students study 138 minutes per night with a standard deviation of 32 minutes. What conclusion can be made from this data?
What is a normal distribution? What is a Z-Value? Can you provide and example of how they relate?
A researcher believes that the percentage of people who exercise in California is greater than the national exercise rate. The national exercise rate is 20%. The researcher gathers a random sample of 120 individuals who live in California and find..
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