The following data is the temperature in August in 50 states in Country ABC.
90 |
171 |
202 |
178 |
147 |
102 |
153 |
197 |
127 |
82 |
157 |
185 |
90 |
116 |
172 |
111 |
148 |
213 |
130 |
165 |
141 |
149 |
206 |
175 |
123 |
128 |
144 |
168 |
109 |
167 |
95 |
163 |
150 |
154 |
130 |
143 |
187 |
166 |
139 |
149 |
108 |
119 |
183 |
151 |
114 |
135 |
191 |
137 |
129 |
160 |
Solution
Part (a)
Class Interval |
Frequency - f |
Percentage |
80 - 99 |
4 |
8 |
100 - 119 |
7 |
14 |
120 - 139 |
9 |
18 |
140 - 159 |
12 |
24 |
160 - 179 |
10 |
20 |
180 - 199 |
5 |
10 |
200 - 219 |
3 |
6 |
Total |
50 |
100 |
Answer 1
Part (b)
Class Interval |
Cumulative Percentage |
80 - 99 |
8 |
100 - 119 |
22 |
120 - 139 |
40 |
140 - 159 |
64 |
160 - 179 |
84 |
180 - 199 |
94 |
200 - 219 |
100 |
Answer 2
Part (c)
To answer this question, we will compute the mean = [Σ(i = 1 to 7){xi.fi}]/[Σ(i = 1 to 7){fi}], where
xi and fi are respectively the class mark and frequency of the ith class interval.
Class Interval |
Frequency - f |
Class Mark - x |
x.f |
80 - 99 |
4 |
89 |
356 |
100 - 119 |
7 |
109 |
763 |
120 - 139 |
9 |
129 |
1161 |
140 - 159 |
12 |
149 |
1788 |
160 - 179 |
10 |
169 |
1690 |
180 - 199 |
5 |
189 |
945 |
200 - 219 |
3 |
209 |
627 |
Total |
50 |
7330 |
So, mean = 7330/50 = 146.
Thus, the temperature seems to be concentrated around 146 Answer 3
NOTE
The question says, ‘monthly electricity cost’, which is possibly a typo.
DONE
The following data is the temperature in August in 50 states in Country ABC. 90 171 202 178 147 102 153 197 127 82 157 185 90 116 172 111 148 213 130 165...
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...
Download the hypothesis testing dataset from the class website. 1. This is case 1, in which the value of population standard deviation is assumed to be known. a. Compute the standard deviation of the textbook price and assume this to be the population standard deviation. Type this value in E5. b. Pick a random sample of size 15. c. Compute the mean of your random sample in E4 using the AVERAGE function. d. Calculate the standard error in cell E9...
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 ...
Organization: Freestanding ER Services Title: ER Operations Manager Outline: Multiple Regression: Effect of Age and General Health Status Score on Total ER Cost. Purpose Importance Variables Sample Size Hypothesis Methodology Findings Interpretations/Implications Description of each Section Purpose: Identify the purpose of the analysis in this section. What questions do you hope to answer? Importance: State and explain the importance of this analysis to the department/organization. How will the findings be used? Variables: List all variables, explain how they will be...
You are the manager of a company that owns several outpatient surgery facilities. You want to determine if there are differences in overall patient health as measured by the General Health Status Score (GHSS) by type of patient carrier (Government, Insured, Uninsured). Your IT department provided you data on patient visits by type of carrier and the GHSS. Prepare a report to share with the owners of the facility that will help you make informed decisions about whether or not...
Need help with b,c and d. A30 fx III. A B с 78 79 TOTAL LIABILITIES 80 81 b) In the next 3 months the following accounting events happened to the company (the VAT is 25% in each 82 event wherever it is possible). Record the accounting events in the books! (24p) 83 84 85 86 1. The owners opened a bank account and paid 300.000 K HUF in as a startup capital to launch the business. 87 88 2....
need help to complete this java program // add appropriate import statements here. // These imports you can leave as is. import javafx.application.Application; import javafx.scene.Group; import javafx.scene.Scene; import javafx.scene.canvas.Canvas; import javafx.scene.canvas.GraphicsContext; import javafx.scene.paint.Color; import javafx.stage.Stage; /** @author yourAccountNameHere */ public class ConnectTheDots extends Application { /* * Do not add code to main(). Add it below in connectTheDots instead. */ public static void main(String[] args) { launch(args); } /*...
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...