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In a study with four groups which have equal sample sizes of 8, the following results were obtained. s ss 1 = 8 s2 = 11 3 = 5 4 = 9
(a) Calculate the sum of squares within.
(b) If it turned out that the obtained mean square between (MSbetween) was 80, would the null hypothesis most likely be tenable or rejected? (Choose an alpha level of .05).
Drawing on one of your interests in the study of criminal justice, develop three hypotheses that can be tested using t-tests. Why do you think it would be interesting or important to test these hypotheses?
Overall, the survey contacted 1302 men and claims a margin of ±2.9% error of Why is the margin of error different for your confidence interval?
Zip codes. Holes-R-Us, an Internet company that sells piercing jewelry, keeps transaction records on its sales. At a recent sales meeting, one of the staff.
compute the mean median mode and standard deviation for the following discrete probability distribution.value of
a random sample of size 81 is to be selected from a population that has a mean of 95 and a standard deviation of 15.a.
You decide to test your claim using publicly available registration records and a 0.05 significance level. What is the value of your test statistic?
Now, find a 99% confidence interval for the same data. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
Is a claim always going to be a hypothesis and how do you know if it's a null or alternative hypothesis?
1. Determine the percentage of aspirin (acetylsalicylic acid) present in aspirin tablets. Can you make any statements about the other materials aside from aspirin that must be in the tablets based upon what you observed in this laboratory ?
on july 14 2004 a power outage in the northwest airlines operations center near minneapolis forced the airlineacircs
What is probability that all parts in the sample are defective, what is probability that the sample will containe 3 defective parts of more.
Statistics Assignment - Create a scatter plot for the amount of time Americans living in or near cities spend waiting in traffic
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