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Explain the importance of random sampling. What problems/limitations could prevent a truly random sampling and how can they be prevented? YOU NEED TO ANSWER THIS DISCUSSION QUESTION, 350 TO 500 WORDS NEEDED, 3 REFERENCES AND PLEASE IF YOU CAN DO IT IN APA FORMAT
The students receive raw scores of 63 and 93, which correspond to z scores (often called the standard- ized scores) of -1 and 1.5, respectively. Find the mean and standard deviation of the distribution of raw exam scores.
For a one-way contingency table, the following frequencies are observed: 23, 34, 43, 53, 16. Using α = .01, test the hypothesis that all five categories have the same probability.
What is your decision regarding the null hypothesis? A sample of 120 observations revealed that p = .30. At the .05 significance level, can the null hypothesis be rejected?
Objective to minimize 925X1 + 2000X2 what is the Optimal Solution?
15. During a recent period of high unemployment, hundreds of thousands of drivers dropped their automobile insurance. Sample data representative of the national automobile insurance coverage for individuals 18 years of age and older are shown here.
question 1 the manager of a cosmetics company was interested in new zealanders personal hygiene. a survey was conducted
A random sample frm a population with mean and std dev produced the following sample info: n=110 x=699 s=20.4 given xbar = 699 1. find the 95% confidence interval fr the mean u and interpret the resulting interval. 2. find the 99% confidence interv..
find two different news stories in a mainstream media source cnn foxnews newsweek etc. that cite data from a recognized
Formulate and solve a linear optimization model using the auxiliary variable cells method and write a short memo to the production manager explaining the sensitivity information.
A medical doctor wishes to test the claim that the standard deviation of the systolic blood pressure of deep sea divers is greater than 450. To do so, she selected a random sample of 25 divers and found s = 468. Assuming that the systolic blood press..
Define each of the following: Type I error, and Type II error. When testing a hypothesis, why don't we set the probability of a Type I error to be extremely small? Explain.
Find the minimum sample size required to estimate a population mean m from an underlying normal distribution. Margin of error: 5; confidence level: 95%; σ = 20. Round your answer up to the nearest integer
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