Explain why we shouldn’t just simply take the average difference from the mean for our variability statistic?
Explain why we shouldn’t just simply take the average difference from the mean for our variability...
we wish to estimate μ, the mean length of the fish in our pond. we take a random sample of 65 fish and measure their lengths. for this sample, we find an average length of 4.53 cm, and a standard deviation of 0.8cm. i) using our observations as a pilot study, determine the sample size needed to estimate the mean μ within 0.1cm with 95% confidence. ii) find the upper confidence interval for μ
Explain the difference between the between-treatment variability and the within-treatment variability when performing a one-way ANOVA. Provide the equivalent formula that we use for both of these entities and thereafter provide your rationale for why they would create a proper metric for one-way ANOVA.
Explain, using a real-life example, why it is necessary to consider variability around the mean or nominal dimension as a measure of quality.
This question is based on Ch10, but we can solve it using our knowledge from Ch9. In Ch 8, we created confidence intervals to test whether the means differed in a statistically significant manner between two independent (unrelated) populations, like males and females. The sample point estimator in the confidence interval was the difference in the sample means between the 2 samples (xbar - ybar). We created a confidence interval of the form: (xbar-ybar) +/- (Zα/2)[standard error of (xbar-ybar)] We...
Q1 (10 pts): Simply explain the mechanical property terms of stress, strain, and strength. Why do we need to define such properties, can't we just simply rely on what experiments show? By definition, are those reliable properties, or due to nature of experiments we need to modify them?
Intuitively explain why corporate actions to reduce variability in cash flows may be redundant from the perspective of diversified shareholders.
2.4.1 Measuring Variability Relative to the Mean Learning Objective: Distinguish between graphs with large or small standard deviation using the concept of average deviation from the mean. 2) Here are exam scores for 11 students. The mean score is 70 points out of 100. 40 50 60 80 100 Which score varies the most from the mean? What is this score's distance from the mean? Which score varies the least from the mean? What is this score's distance from the...
An average is an attempt to summarize a collection of data into just one number. Explain how the mean, median, and mode all represent averages in this context. Why is the mean a balance point? Why is the median a midway point? Why is the mode the most common data point? List three areas of daily life in which you think the mean, median, or mode would be the best choice to describe an “average and explain why.
A) Suppose we wish to test our claim that the mean number of ounces of peanuts in a jar is 16 using our confidence interval. Is 16 a reasonable value for the population mean? Why or why not? B) A normal probability plot (Q-Q plot) of the sample data is given below. This plot shows some departure from the straight line. Is our confidence interval still valid? Why or why not? Normal Q-Q Plot of Jar Contents Expected Normal Value...
Question 17 (1 point) Let's say that i take our class to be a SRS and gather data on everyone's weight. Taking that sample we see that our sample mean is 68 kilograms. Assume that we magically know that the true population standard deviation is 10 kilograms. Based on our data, gathered from 40 students, can you give me an estimate on the true population mean weight? Give me a 95% Confidence interval O (64.9,71.1) (66.4, 69.92) (62, 74.2) (58.1,...