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5. A window that is manufactured for an automobile has five studs to attach it. A...
5. A window that is manufactured for an automobile has five studs to attach it. A company that manufactures these windows performs “pull-out tests” to determine the force needed to pull a stud out of the window. Let X,, i = 1,2,3,4,5, equal the force required at position i and assume that the distribution of x, is N(4,0?). Observations 87 105 86 X, : 92 90 83 102 X,: 100 108 98 110 114 97 94 149 138 136 139...
Height 142 148 152 150 141 Arm Span 138 144 148 145 136 Height 142 149 151 147 152 Arm Span 139 144 145 144 148 Height 150 152 148 152 144 Arm Span 147 148 144 148 140 Height 148 150 138 145 142 Arm Span 143 146 134 142 138 Step 2: Create a scatter plot of the data. Use height as the x-variable and arm span as the y-variable. a. Does there appear to be a linear...
Maintaining a healthy weight is important for women’s health. Some physicians recommend being back to your pre-pregnancy weight six months after giving birth. Public health officials are interested in whether this is a realistic goal. Do the women in North Carolina weigh more than their pre-pregnancy weight six months postpartum? In other words, is the six months post-pregnancy weight greater than their pre-pregnancy weight? Use a paired samples t-test to compare pst6wght (variable 1) and prewght (variable 2). This uses...
what should line 155 and 156 say?
117 print (AverageAdulLupului 118 19 #Though wait... If you look at AdultTotal and Number of Species, the calculation 20 #should be 114/9....That's not 12! It's 12 and two thirds! (or 12.66666666... 121 #The problem is that python automatically interprets whole numbers as integers 122 #Try and see the difference between the below examples 123 print( 3/5) 124 print(3.0/5) 125 #If you put a decimal in the number, python knows that the numbers aren't...
QUESTION 7 The data set Beer Large, which can be found in StatCrunch Shared Data Sets, gives the Alcohol, Carbohydrates and Calories for different brands of beer. The explanatory variable is x + Carbohydrates and the response variable is Y - Calories. Use this information to answer: Calculate the correlation between carbohydrates and calories. (4 decimal places) Row vars varo var var 8 var9 var 10 2 الميا ABV 4.1 5.4 4.43 4.13 5.9 4.9 Carbs 2.6 13.7 5.8 5...
33 On May 6, Jim Ryan borrowed $14,000 from Lane Bank at 7 % interest. Jim plans to repay the loan on March 11. Assume the loan is on ordinary interest. How much will Jim repay on March 11? (Use Days in a year table) (Round your answer to the nearest cent.) Jm repay etbook 7-1 TABLE Exact days-in-a-year calendar (excluding leap year)" Day of month 30 31 30 31 28 31 30 31 31 30 31 31 Dec Mar...
Please determine the IDENTITY of the unknown
compound and explain how each peak / data point from the following
instruments led to that identification. What does the gcms
indicate. Thank you very much! (The GCMS data is just a long set of
numbers which is why the question appears so long).
IR of unknown:
NMR unknown Proton Graphs (first is overall graph,
others that follow are zoomed in sections):
NMR unknown Carbon Graphs (first is overall graph,
others that follow...
data: (copy and paste in excel to view columns in alignment)
Sample Repair Time (days)
1 12
2 17
3 9
4 16
5 10
6 18
7 12
8 14
9 15
10 14
11 14
12 8
13 11
14 10
15 8
16 8
17 14
18 12
19 14
20 13
21 12
22 15
23 15
24 10
25 24
26 17
27 13
28 15
29 13
30 15
31 36
32 40
33 ...
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...