
Data:
contamination 418 396 400 404 398 413 411 403 410 393 384 415 421 391 398 408 384 396 410 388 406 407 422 422 2321 415 388 426 394 415 411 410 396 426 422 404 414 410 410 401 392 396 415 409 384 426 402 396 392 406
Here we have data:
384,384,384,388,388,391,392,392,393,394,396,396,396,396,396,398,398,400,401,402,403,404,404,406,406,407,408,409,410,410,410,410,410,411,411,413,414,415,415,415,415,418,421,422,422,422,426,426,426,2321
a) first quartile = 396
b) third quartile = 415
c) median = 406.5
d) Mean = 443.580
e) Outlier of data = 2321
f) median after outlier deleted = 406
g) Mean of the data after outlier deleted = 405.265
Data: contamination 418 396 400 404 398 413 411 403 410 393 384 415 421 391...
The data below indicate the contamination in parts per million in each of 50 samples of drinking water at a specific location. hw1_q6a a) What is the first quartile of the data? b)What is the third quartile of the data? c)What is the median of the data? d)What is the mean of the data? Give your answer to three decimal places e)Values that are greater than Q3 + 1.5 IQR or less than Q1 - 1.5 IQR are typically considered...
6. + Question Details The data below indicate the contamination in parts per ilin in each of 50 samples of drinking water at a specific location hw1_q6.csv a) What is the first quartile of the data? b)What is the third quartile of the data? c)What is the median of the data? d)What is the mean of the data? Give your answer to three decimal places e)Values that are greater than Q3 1.5 IQR or less than Q1 1.5 IQR are...
Hi it's python I imported a data which are so many words in txt
and I arranged and reshaped with alphabetically both rows and
columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
I have to find each word...