X = Fat
Y = Cholesterol level
X Y X.Y X.X Y.Y

Strong positive correlation between Fat and Cholesterol level
ii)

iii)
x = 40
y = 60.116 + 2.436 ( 40 )
y = 157.556
A study was conducted within a group of women aged between 35 and 45 years old...
The mean weight of U.S. men of age 30–39 years old is 191.802 pounds. Using the provided sample data file, conduct a one-sample ?-test of a mean to test whether the mean weight of men of age 30–39 years old who smoke daily is lower than 191.802. Calculate the sample mean, x¯, for this data. Give your answer precise to at least one decimal place: Compute the standard deviation, SD, of the sampling distribution of the mean. (Some people call...
A prospective study of Norwegian women who were followed between 1986 and 2009 was conducted. Within that period (1995-2005), a national mammography program was gradually implement ed, with biennial invitations send to women age 50-69. The participants of the study were all women aged 50-79 between 1986-2009. The mortality rate ratios compared women who were invited to screen to those who were not invited, with a clear distinction between cases of breast cancer diagnosed before and after the invitation to...
Suppose that Michael reads somewhere on the Internet that, on average, middle-aged people between 45 and 65 years old visit 8 different websites per day on weekend days. Michael knows that he cannot trust everything he reads on the Internet, so he decides to conduct his own study. He believes that the middle-aged people in his community visit more than 8 websites per day. He surveys a random sample of 14 middle-aged people in his community and asks them to...
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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...
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Need answers. thank you
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