What is an example of when you would want consistent data and, therefore, a small standard deviation? What is an example of when you might want a large standard deviation? That is, data that is more spread out?
What is an example of when you would want consistent data and, therefore, a small standard...
What is an example of when you would want consistent data and, therefore, a small standard deviation? What is an example of when you might want a large standard deviation? That is, data that is more spread out?
it has to include the mean and standard deviation This is a graded discussion: 25 points possible due Nov 17 Discussion Five Math 2 Discussion Five: (17 points) Give me a real-life example of a data distribution that you think is approximately normal, but with a large spread (ie large standard deviation). Use Google or other research methods to find the mean and standard deviation to support your claim. What reasons or conditions attribute to the large variation? (Here's my...
1. According to the empirical rule, in a normally distributed set of data, approximately what percent of the scores will be within 1 standard deviation (-1 to +1) away from the mean? 40% 95% 68% 75% 2. f you took an IQ test and your score was 2 standard deviations above average, assuming normal distribution, approximately what percent of all IQ test takers would your score be higher than? 98% 60% 70% 80% 3. if you took an IQ test...
what would be an example of a small gain system? 3. Discuss the concept of gain differentiate between a system that has a large gain and a system that has a small gain. Give and example of each. The difference between a large and small gain system is that a large gain or homooctacic pathor quicleler 11
Descriptive statistics like mean, median, range, and standard deviation can be used to summarize data. But the value isn't in knowing how to calculate these numbers, it's in knowing what they mean—or even which ones to consider. This discussion explores that by asking you to take a strictly hypothetical look at a serious circumstance. An article you might want to consider in this context is Stephan Jay Gould’s The Median Isn’t the Message. 1. If you were diagnosed with a...
While calculating descriptive statistics for Data Set A and Data Set B, you note that both data sets have the same mean. However, Data Set A has a smaller standard deviation than Data Set B. What does this indicate about the measurements in Data Set A as compared to those in Data Set B? Group of answer choices The data in set A is more spread out than the data in set B. The data in set A is more...
What are the assumptions about the data when using linear regression? And therefore, when using linear regression to produce a calibration curve, why is it not okay to plot the standard concentrations on the y-axis and the instrument response on the x-axis?
Organizations frequently leverage standard deviation measurements to inform a variety of business decisions. For example, financial planners often evaluate the standard deviation of a potential investment to determine its associated risk. Research the practical applications of standard deviation in your discipline. Provide a relevant example from your discipline that demonstrates how standard deviation might be used to inform organizational processes or decisions. Be sure to include: an applied example of an organizational process or decision that could be influenced by...
As the new manager of a small convenience store, you want to understand the shopping patterns of your customers. You randomly sample 20 purchases from yesterday’s records (all purchases in U.S. dollars): 39.05 2.73 32.92 47.51 37.91 34.35 64.48 51.96 56.95 81.58 47.80 11.72 21.57 40.83 38.24 32.98 75.16 74.30 47.54 65.62 Find the sample mean and the standard deviation. What is the standard error of the mean? Construct a 90% confidence interval for the mean age of all customers,...
In 250 words, What is standard costing, and when is it used? Give an example of a well-known company that you think would use standard costing methods and explain why.