Reference no: EM131008559
Find an article/blog post/whatever that attempts to use data and statistics to make their point. Then,
- In a short paragraph, summarize the article.
- Briefly describe the data that is used and how it is collected. What is the sample and what is the population? Example: Survey data collected by QU pollsters. The sample is those polled, and the population may be U.S. citizens eligible to vote.
- Do you think the sample represents the population accurately? Comment on the data accuracy. Do you think there is any bias? Why or why not? Could there be data collection issues? If so, what are they? Comment on data types used; are they quantitative or qualitative, time series, cross-sectional, or panel data? (Note: This is all stuff from Chapters 1 and 2 so it might be worth reviewing them quickly.)
- Are there charts or graphs used? What are they? Do they do a good job of summarizing the data? Why or why not? A good way to test this is to look at the graph without reading the article and see if you can figure out what it's trying to say.
- What statistics are used (e.g. mean, median, mode, variance, etc)? Are there other statistics used that you don't recognize? What is the use of these statistics in the article? What is the author trying to show with each? If not otherwise stated, do you think there is a lot of variation in the dataset?
- Are probabilities mentioned at all? If so, in what context? Do they make sense, or are they perhaps misleading? If not, can you suggest some probabilities that may be useful to the article?
- Briefly summarize whether or not you thought the article used data in a meaningful way. Suggest some additional data you might have like to see used (this can be anything, available or not).
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Reject the null hypothesis
: For each of the following situations, state whether a Type I, a Type II, or neither error has been made. a) A test of H0: m = 25 vs. HA: m 7 25 rejects the null hypothesis. Later it is discovered that m = 24.9. b) A test of H0: p = 0.8 vs. HA: p 6 0..
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Solve the constant-coefficient equation
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What is the predictor variable
: For each additional hour of television viewed per day, the number of fruit and vegetable servings per day was found to decrease on average by 0.14 serving. For this study, what is the dependent variable? What is the predictor variable?
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What is the standard error of the mean
: 1. Suppose that you are testing the hypotheses H0: m = 16 vs. HA: m 6 16. A sample of size 25 results in a sample mean of 16.5 and a standard deviation of 2.0. a) What is the standard error of the mean?
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What is the sample and what is the population
: Briefly describe the data that is used and how it is collected. What is the sample and what is the population? Example: Survey data collected by QU pollsters. The sample is those polled, and the population may be U.S. citizens eligible to vote
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Is the slope of the least-squares line positive or negative
: For each of the following pairs of variables, indicate whether you would expect a positive correlation, a negative correlation, or a correlation close to 0. Explain your choice. Maximum daily temperature and cooling costs.
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The rockwell corporation uses a periodic inventory system
: In the 2011-2009 comparative financial statements, what will be the amounts of cost of goods sold and inventory reported for 2011?
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Standard error and standard deviation of sample proportion
: a) Construct a 90% confidence interval for p. b) Based on the confidence interval, at a = .05 can you reject H0? Explain. c) What is the difference between the standard error and standard deviation of the sample proportion? d) Which is used in comput..
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Construct a p chart of the percentage of late flights
: One of New English Air's top competitive priorities is on-time arrivals. Quality VP Clair Bond decided to personally monitor New England Air's performance. Each week for the past 30 weeks, Construct a P Chart of the percentage of late flights
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