Question

Chapters 1 and 2 Name 1. Average temperature on April 14 was recorded for 21 years (1995-2015) for Des Moines, lowa and San Francisco, CA. Here is a dotplot of the data DesMoines SanFrancisco 36 42 54 Temperature 60 72 For these datasets: What are the individuals? Compare the two distributions generally with regard to shape, center, and spread. Locate and compare the medians What is the variable? 2. Here is data on the Caesarean rates (percent of babies delivered by Caesarean) at local hospitals (2016 Ohio Department of Health Data). Make a dotplot of this data. Which look like outliers? (Check using the IQR criterion) HOSPITAL Atrium Medical Center Bethesda North Christ Hospital Fort Hamilton Good Samaritar McCullough-Hyde Mem Mercy Anderson Mercy Fairfield St Elizabeth (KY) University Hospital RATE (%) 30.7 27 36.4 25.9 29.4 28.7 25.7 32.5 17.8 28.1 hospitals

Answer 1

1.)

Variable here is: Temperature

Individuals are: Cities DesMoines and San Fransico

Spread: Clearly visible that temperaure for DesMoines is spread from 36 to 74. It has more spread then Sanfransico whose Temperatures as bounded in 36 to 61

Both the cities has 21 observations. So median is 1/2(21 +1) = 11th term

Median for DesMoines = 55

Median for San Fransico = 54

The median for both the cities is almost same indicating that spread in Des Moines is not affecting the median value.

Mean for DesMoines = 53.9523

Mean for San Fransico = 53.9047

The mean Temperature for both the cities is approximately same.

The reason for that is DesMoines city has much wider range of temperature which results in compensation of lower values reaultung in mean which is nealry same as San Fransico.

2.)

A -> Altrium = 30.7

B -> Bethesda = 27

C -> Christ = 36.4

D -> Fort = 25.9

E -> Good = 29.4

F -> McCullough = 28.7

G -> Mercy Anderson = 25.7

H -> = Mercy Fairfield = 32.5

I -> Elizabeth = 17.8

J -> University = 28.1

The Scatter plot is shown below:

There are two hospitals which looks like outlier:

St Elizabeth = 17.8% These number is very low as compared to others. Lower outlier case

Christ Hopital: Though this value is not so large, this has to be checked once before doing any analysis.