\"The (Mean, Median) would best represent a typical observation in the data\" \"
ID: 3073457 • Letter: #
Question
"The (Mean, Median) would best represent a typical observation in the data"
"The variability of observations would be best represented using the (Standard Deviation, IQR)"
(12 points) Distributions and appropriate statistics. For each of the following, describe whether you expect the distribution to be symmetric, right skewed, or left skewed. Also specify whether the mean or median would best represent a typical observation in the data, and whether the variability of observations would be best represented using the standard deviation or IQR. 1. Housing prices in a country where 25% of the houses cost below S350,000, 50% of the houses cost below $450,000, 75% of the houses cost below $1,000,000 and there are a meaningful number of houses that cost more than $6,000,000. We expect this distribution to be ? The+ The variability of observations would be best represented using the 2. Housing prices in a country where 25% of the houses cost below S300,000, 50% of the houses cost below $600,000, 75% of the houses cost below $900,000, and very few houses that cost more than would best represent a typical observation in the data $1,200,000 We expect this distribution to be The ? The variability of the observations would be best represented using the ? 3. Number of alcoholic drinks consumed by college students in a given week. We expect this distribution to be ? The?wouid best represent a typical observation in the data The variability of observations would be best represented using the? 4. Annual salaries of the employees at a Fortune 500 company. We expect this distribution to be? The? The variability of observations would be best represented using the would best represent a typical observation in the data would best represent a typical observation in the data.Explanation / Answer
1)left skewed
median (As it is right skewed)
IQR
2)
symmetric
mean
std deviation
3)
right skewed
median (As it is right skewed)
IQR
4)
symmetric
mean
std deviation
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