Explain how the interquartile range of a data set can be used to identify outliers. The interquartile range (IQR) of a data set can be used to identify outliers because data values that are greater than equal to less than ▼or are considered outliers.

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A: Sample size=n=291Confidence level=80%=0.80

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A: n=100

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A: Mean()=50standard deviation()=11

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A: We have given that,         vs.The significance level: .

Q: ) Compute a 90% confidence interval for ?1 – ?2. (Use 2 decimal places.)   Lower Limit   Upper…

A: Let  and  be the two population mean time intervals for Old Faithful eruptions for the years 1948 to…

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A: (1) Y~N(4,4)(2)Y~N(4,9)(3) Y~N(100,36)

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A: The scatterplot is given

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Q: Poly(3-hydroxybutyrate) (PHB), a semicrystalline polymer that is fully biodegradable and…

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A:

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A:

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A: It is given that rolling an 8-sided die.The events  and .

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A:

Q: Consider the following two-dimensional data sampled from two categories, denotes C. Each of them…

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A: Note:As per guidelines we will solve the first question only, please repost other questions for more…

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Q: part C marked as wrong

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A: a)Calculating the average observed time of each element,Element 1=(7+8+9+11+8)/5=43/5=8.6 secElement…

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A: Given:Z follows the standard normal distribution.Using the calculator provided, or this table,we…

Q: Michael Sanchez purchased a condominium for $67,000. He made a 20% down payment and financed the…

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Q: Find the indicated IQ score. The graph to the right depicts IQ scores of adults, and those scores…

A:

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Q: The mean percent of childhood asthma prevalence in 43 cities is 2.41%. A random sample of 31 of…

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Q: Which of the following statements are true?  **There may be more than one true statement; select all…

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