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Question: The following table represents a summary by county for Medicare enrollment (in (c) Test for outliers. If an observation is extreme, would you classify it as an outlier?
(b) If not, try a suitable transformation to make the transformed data approximately thousands) for 15 randomly selected countiesin 2018. 665 3,757 623 757 541 448 478 2,728 103 771 224 86 623 1,373 713
(a) Test to determine whether the data are normal. normal. (d)draw a boxplot and explain it in details
question an opportunity sample of 50 undergraduate students was asked to complete a series of personality
Compare the mean in USD with the mean in cents; do not forget the units. Explain what multiplying each number in a data set by 100 does to the mean.
the citizens of a certain community were asked to choose their favorite pet. the pie chart below shows the distribution
When the CPI was computed for December 2002, the relative weight for the food and beverages category was 15.6%, whereas for the recreation category.
The categories of the first 30 persons interviewed, with G = college graduate and N = nongraduate, are shown in the sequence below. At the 0.10 level, evaluate the randomness of the sequence.
Which of the following are least likely to be the primary means of investigating normality in a distribution X?
Attitudes toward recycled products Some people believe recycled products are lower in quality than other products, a fact that makes recycling less practical.
Using the Standard Deviation Rule, aka the Empirical Rule, what is the approximate percentage of 1-mile long roadways with potholes numbering between 21 and 56?
what is the probability that someone in country a consumed more than 12 pounds of coffee in 20008?in 2008 the per
Your turn; Choose a portion of the 139 certification process and tell us about why it is so important.
Four ball bearings were taken randomly from a production line and their diameters measured. The results were 1.0250, 1.0252, 1.0249 and 1.0249. Determine the average, sample variance and sample standard deviation.
Even though both X and M are unbiased, the reason we usually use the mean instead of the median as the estimator of μ is that X has a smaller variance than M.]
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