Type Calories Sodium
1 181 477
1 176 425
1 149 322
1 184 482
1 190 587
1 158 370
1 139 322
1 175 479
1 148 375
1 152 330
1 111 300
1 141 386
1 153 401
1 190 645
1 157 440
1 131 317
1 149 319
1 135 298
1 132 253
2 173 458
2 191 506
2 182 473
2 190 545
2 172 496
2 147 360
2 146 387
2 139 386
2 175 507
2 136 393
2 179 405
2 153 372
2 107 144
2 195 511
2 135 405
2 140 428
2 138 339
3 129 430
3 132 375
3 102 396
3 106 383
3 94 387
3 102 542
3 87 359
3 99 357
3 107 528
3 113 513
3 135 426
3 142 513
3 86 358
3 143 581
3 152 588
3 146 522
3 144 545
For sodium:
| Anova: Single Factor | ||||||
| SUMMARY | ||||||
| Groups | Count | Sum | Average | Variance | ||
| Type 1 | 19 | 7528 | 396.2105263 | 10560.73099 | ||
| Type 2 | 17 | 7115 | 418.5294118 | 8812.014706 | ||
| Type 3 | 17 | 7803 | 459 | 7180.75 | ||
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-value | F crit |
| Between Groups | 35993.85 | 2 | 17996.92605 | 2.017694879 | 0.143646 | 3.18261 |
| Within Groups | 445977.4 | 50 | 8919.547864 | |||
| Total | 481971.2 | 52 |
The p-value is 0.1436
Since p-value is greater than 0.05 so we cannot conclude that there are significant differences in the sodium levels of the three types of hot dogs using an α = 0.05.
------------------------------------------------------------------------------------------------
For calories:

The p-value is: 0.0000
Since p-value is less than 0.05 so we can conclude that there are significant differences in the calorie content of the three types of hot dogs using α = 0.05.
Difference exist between Type 1 - Type 3 and Type 2 - Type 3
When it comes to hot dogs, health conscious individuals prefer those that are lowest in salt (sod...
There are many different types of hot dogs produced in the U.S. The data to the right represents the published mean calorie contents of the various brands that produce beef hot dogs and the mean calorie contents of various brands that produce poultry hot dogs. (Treat these as samples.) Compute the mean calorie content for each type of hot dog. (beef and poultry) Beef Poultry X Y 186 129 181 132 176 102 149 106 184 94 190 102 158...
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I want question 2 to be answered. thank you so
much
2. The calories for 20 brands of veggie dogs are given below. (Notice these data have been ordered from smallest to largest.): 40 45 45 45 50 50 55 57 60 60 70 80 80 81 90 100 100 110 95 190 a) Make a five-number summary of the veggie dog calories. b) Now make side-by-side boxplots and compare the distributions of calories for beef dogs and veggie dogs....
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I need help with my applied managerial statistics project
Do a descriptive analysis(calculate mean, mode ,range ,variance
,std ,deviation etc ) on each of the four variables sales ,calls, time,
years and plot a histogram (using Excel)for each of the four
variables.
B Sales (Y) 37 38 40 117 45 43 34 37 137 138 44 45 37 38 43 46 45 Calls (X1) Time (X2) Years (X3) 117 14.8 117 15.3 15.6 117 15.8 120 18.2 120 13.6 131...
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); } /*...
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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...