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Find two articles (newspaper, internet, magazine, academic resource, etc...) that use statistics to present some kind of argument or opinion . For each article, write a short, one-page analysis that addresses the following topics:
1. A brief overview of the article and the argument that it presents.
2. The kinds of statistical methods that were used to formulate the author's argument.
3. A personal opinion as to whether the statistics used are appropriate and whether or not the statistics are biased (i.e. do you think the statistics in the article are an accurate representation of the topic that is being studied?) Explain your reasoning.
Determine the sample size needed in order to be 99% confident that the sample proportion of the current customer accounts is within .03 of the true proportion of all current accounts for this company.
Write Cumulative distribution function.Find the cumulative distribution function F(x).
You might find the probabilities using the Table or software of your choice. Please explain how you obtained your results.
You work in the corporate office for a nationwide convenience store franchise that operates nearly 10,000 stores. The per-store daily customer count has been steady,
Registration process takes, on average, 2 minutes per patient. Among patients who get prescriptions, average time spent with doctor is 5 minutes. Among those admitted to hospital, average time is 30 minutes.
Explain which indicate that changes in the concentration of carbon dioxide which cause changes in the global temperature
If the loss of weight of customers at the end of their first month is normally distributed with a mean of 6.7lbs and a standard deviation of 0.81lbs
Test the claim that the actual percentage is 53%. Use a 0.10 significance level.
Given that X1 is in the model, does X2 contribute to predicting the dependent variable at the .05 significance level?
Which of the following is NOT true regarding the normal probability distribution.
Determine the probability of examining a sample mean weight from any 20 women chosen from this population that is less than S (your sample mean) by using population standard deviation?
What is the probability that the mean life-span of a sample of 64 randomly selected bulbs will exceed 727 hours?
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