5. S-ID.3.7 The line graph below displays the average U.S. farm size. in acres, during a...
In 1940 the average size of a U.S. farm was 174 acres. Let's say that the standard deviation was 56 acres. Suppose we randomly survey 42 farmers from 1940 O Part (a) O Part (b) B Part (c) Give the E Part (d) The mode 50% of the distributin for the bonds of which form the distance represented by the i lies between what two values? Round your answers to two deo al places acres (smaller value) acres (larger value)
Aliyah plans to start a farm to plant corn. The graph below shows the short-run average total cost curves corresponding to the three possible plant sizes: small, medium, and large. 10 9 2 8 SATC small SATClarge 5 7 18 Price $/Q 21 SATC medium 3 24 2 27 0 1 5 6 7 8 9 10 12 13 14 15 16 30 Quantity (bushels in thousands) If Aliyah wants to produce 6,000 bushels of corn, she should choose the...
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). a) Forecasted sales for year 6 using a 3 year moving average is 558 sales (round your response to one decimal place). b) The MAD for a 3-year moving average based forecast is 67 sales (round your response to one decimal place). c) The MSE for a 3-year moving average based forecast is sales (round your response to the nearest whole number).
5)Happy Baby, a maker of baby foods, has found a high correlation between the aggregate company sales (in $100,000) and the number of births nationally the preceding year (one year prior). Suppose that the sales and the birth figures during the past eight years are Sales U.S. births Year ($100,000) in millions 1 6.1 2.9 2 6.4 3.4 3 8.3 3.5 4 8.8 3.1 5 5.1 3.8...
2. Linear trend regression Aa Aa The U.S. Census Bureau collects data on the size and location of the houses that are constructed each year in the United States. The table and corresponding plot that follow show annual time series data on the mean square feet of floor space in new one-family houses in the Midwest. 2,400 2,300 Floor Space (Mean Square Feet) 2,200 2,100 2,000 1996 1998 2000 2002 2004 2006 2008 Year applicable to the time series because...
The administrator of a hospital is interested in predicting the amount of gross patient revenue that the organization expects to earn during the winter, spring, summer, and fall of the next year. the following data represent the gross patient revenue earned in the past 6 years. Season Time Gross Revenue Moving average Winter 1 36 Spring 2 27 Summer 3 15.1 Fall 4 37.8 = Winter 5 47.6 Spring 6 41.4 Summer 7 26.9 Fall 8 51.7 Winter 9 53.3...
ACC122 EXAM 5 PAGE 2 OF 8 2. What is the total number of units sold (total sales) for the year? A. 1,000 B. 700- C. 650 D. 600 E. None of the above Complete the Table below and then answer the 8 multiple choice questions 3-10: AVERAGE SPECIFIC COST FIFO ID LIFO Cost of Goods Available for Sale 1.35,2mo 2. 3 4. Cost of Ending Inventory 5. 11.400 6. 7. 8. Cost of Goods Sold 9. 10. 12. For...
help create a table
data.txt
1,C,Richie,1955
2,JAVA Script,Karen,1958
4,Java,Schwartz,1959
5,C++,Ross,1959
6,prolog,Maria,1972
7,Perl,Wall,1987
ID Title Year Price 1 Author Richie Karen 1955 1958 10 20 2 4 C JAVA Script Java C++ prolog 1959 10 5 Schwartz Ross Maria 1959 1972 20 10 6 7 Perl Wall 1987 20 The above relation has information about different books. The table information is already saved as txt format in Moodle under the name Quiz2Data.txt. Using MySql on your computer do: Create a database...
The average student loan debt of a U.S. college student at the end of 4 years of college is estimated to be about $22,800. You take a random sample of 40 college students in the state of Vermont. The debt for these students is found in the table below. We want to construct a 95% confidence interval for the mean debt for all Vermont college students. You will need software to answer these questions. You should be able to copy...
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...