Q3. Is the above hypothesis true? Explain by providing the P value Yes if the value is greater than 0.05 Q4. Is there a need for post-hoc tests here? Why or why not. If yes, copy, paste and interpret the result from the post-hoc test to this Word doc. If "No", do not copy anything at all Carb Diet 140 189 149 141 128 343 241 142 351 148 444 545 544 351 551 345 152 Keto Diet 136 133 243 139 149 246 150 137 434 550 532 541 345 139 141 146 237 Atkins Diet 226 130 170 190 336 240 440 221 321 137 231 433 433 520 528 235 123
Q3. Is the above hypothesis true? Explain by providing the P value Yes if the value is greater than 0.05 Q4. Is there a need for post-hoc tests here? Why or why not. If yes, copy, paste and interpret the result from the post-hoc test to this Word doc. If "No", do not copy anything at all Carb Diet 140 189 149 141 128 343 241 142 351 148 444 545 544 351 551 345 152 Keto Diet 136 133 243 139 149 246 150 137 434 550 532 541 345 139 141 146 237 Atkins Diet 226 130 170 190 336 240 440 221 321 137 231 433 433 520 528 235 123
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:**Text and Data Analysis for Educational Context**
**Q3. Is the above hypothesis true? Explain by providing the P value.**
Answer: Yes, if the value is greater than 0.05.
**Q4. Is there a need for post-hoc tests here? Why or why not? If yes, copy, paste and interpret the result from the post-hoc test to this Word doc. If “No”, do not copy anything at all.**
A table is provided below comparing data on three different diets: Carb Diet, Keto Diet, and Atkins Diet. The data represent various measured values for each diet type.
**Data Table for Dietary Comparison:**
| **Carb Diet** | **Keto Diet** | **Atkins Diet** |
|---------------|--------------|-----------------|
| 140 | 136 | 226 |
| 189 | 133 | 130 |
| 149 | 243 | 170 |
| 141 | 139 | 190 |
| 128 | 149 | 336 |
| 343 | 246 | 240 |
| 241 | 150 | 440 |
| 142 | 430 | 221 |
| 351 | 434 | 321 |
| 148 | 550 | 137 |
| 444 | 532 | 231 |
| 545 | 541 | 433 |
| 544 | 345 | 433 |
| 351 | 139 | 520 |
| 551 | 141 | 528 |
Another table with fewer data points is displayed separately:
| **Carb Diet** | **Keto Diet** | **Atkins Diet** |
|---------------|--------------|-----------------|
| 345 | 146 | 235 |
| 152 | 237 | 123 |
The tables illustrate the variation in values across different diet types, which may indicate a need for statistical analysis to comprehend the differences in means or distributions between groups. Analysis using post-hoc tests like ANOVA may determine if the differences are statistically significant.
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