Chapter 3: Q. 3.112 (page 122)
A quantitative data set has size . At least how many observations lie within two standard deviation to either side of the mean
Short Answer
At least observations lie within two standard deviation .
Chapter 3: Q. 3.112 (page 122)
A quantitative data set has size . At least how many observations lie within two standard deviation to either side of the mean
At least observations lie within two standard deviation .
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Get started for freeSickle Cell Disease. A study published by E. Anionwu et al. in the British Medical Journal (Vol. , pp. ) examined the steady-state hemoglobin levels of patients with three different types of sickle cell disease: HB SC. HB SS. and HB ST. Use the following boxplots to compare the hemoglobin levels for the three groups of patients, paying special attention to center and variation.
We have provided simple data set for you to practices the basics of finding measures of center. For each data set determine the:
a) Mean
b)Median
c) Mode.
The given data set is.
Simple data sets have been given for you to try locating the descriptive metrics mentioned in this section. For each data set separately.
(a) Calculate the quartiles,
(b) calculate the interquartile range
(c)compile a five-number summary.
Magazine Ads. Advertising researchers F. Shuptrine and D. McVicker wanted to determine whether there were significant differences in the readability of magazine advertisements. Thirty magazines were classified based on their educational level-high, mid, or low-and then three magazines were randomly selected from each level. From each magazine, six advertisements were randomly chosen and examined for readability. In this particular case, readability was characterized by the numbers of words, sentences, and words of three syllables or more in each ad. The researchers published their findings in the article "Readability Levels of Magazine Ads" (Journal of Adrertiving Reseanch, Vol. ). The number of words of three syllables or more in each ad are provided on the Weissstats site.
Identify the two most commonly used measures of center for
quantitative data. Explain the relative advantages and disadvantages
of each.
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