minitab.docx

# minitab.docx - Part 3 1 a Population includes all members...

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Part 3: 1) a) Population includes all members of a defined group that we are studying or collecting information on for data driven decisions. In this case, the total number of different types of hospitals in each state in America is the population. I gathered my 50 ordered pairs of quantitative data from the book about Hospitals and Dispensaries volume 79. b) To get 30 samples from the data, I used the random number table. I picked three digits at a time. If they were between 01 and 353, and appearing for the first time, it fits to be a random sample. From the random table I got: 100 253 135 292 204 240 63 8 229 166 303 232 90 256 15 343 33 190 252 153 311 44 15 147 323 168 217 176 72 120 2) An explanatory variable is a type of independent variable. The number of hospitals is the explanatory variable because under no circumstance is the number of hospitals affected by any another variable (number of beds). I chose it to be the explanatory variable because it predicts the number of beds available. 3) The response variable is the number of beds.

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Part 4: 1. 350 300 250 200 150 100 50 0 16000 14000 12000 10000 8000 6000 4000 2000 0 S 2711.35 R-Sq 0.4% R-Sq(adj) 0.0% Number of Hospitals Number of Beds Fitted Line Plot Number of Beds = 1603 + 1.673 Number of Hospitals 2. a) The pattern is a weak positive linear association because the points are far away from each other even though they increase towards the left thus the direction is positive. b) There is a linear relationship between the two variables. This is because, as the number of hospitals increase in a state so does the number of the beds available.
Part 5: 1.

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