What is H0?Choice Answers:1. The mean of group 1 is not the same as the mean of group 2 2. The mean of group 1 is the same as the mean of group 2 3. The number of errors for 8 hours sleep deprivation is different than the number of errors for 24 hours sleep deprivation 4. The number of errors for 8 hours sleep deprivation is equal to the number of errors for 24 hours sleep deprivation 5. The number of errors for 8 hours sleep deprivation is not different than the number of errors for 24 hours sleep deprivation 6.The number of errors for 8 hours sleep deprivation is not equal to the number of errors for 24 hours sleep deprivation 7. The number of errors for 8 hours sleep deprivation is not the same as the number of errors for 24 hours sleep deprivation 8. The number of errors for 8 hours sleep deprivation is the same as the number of errors for 24 hours sleep deprivation ### Paired Samples Analysis on Sleep Deprivation and Errors#### Paired Samples Statistics- **Mean** - Errors after 8 hours sleep deprivation: 6.75 - Errors after 24 hours sleep deprivation: 13.90- **N (Number of participants):** 20 for both conditions- **Standard Deviation** - 8 hours: 2.124 - 24 hours: 2.024- **Standard Error Mean** - 8 hours: 0.475 - 24 hours: 0.452#### Paired Samples Correlations- **Correlation between conditions:** -0.263- **Significance** - One-Sided p: 0.131 - Two-Sided p: 0.262#### Paired Samples Test- **Paired Differences** - **Mean Difference:** -7.150 - **Standard Deviation:** 3.297 - **Standard Error Mean:** 0.737 - **95% Confidence Interval of the Difference** - Lower: -8.693 - Upper: -5.607- **t-value:** -9.698- **Degrees of Freedom (df):** 19- **Significance** - One-Sided p: < 0.001 - Two-Sided p: < 0.001#### Paired Samples Effect Sizes- **Cohen's d** - **Standardizer:** 3.297 - **Point Estimate:** -2.169 - **95% Confidence Interval** - Lower: -2.972 - Upper: -1.348- **Hedges' Correction** - **Standardizer:** 3.364 - **Point Estimate:** -2.125 - **95% Confidence Interval** - Lower: -2.913 - Upper: -1.321**Note:**The denominator used in estimating the effect sizes is explained in the footnote. Cohen's d and Hedges' correction use standard deviations from the mean difference and a correction factor, respectively.

Answered: What is H0? Choice Answers: 1. The…

Ciccarelli: Psychology_5 (5th Edition)

5th Edition

ISBN:9780134477961

Author:Saundra K. Ciccarelli, J. Noland White

Publisher:Saundra K. Ciccarelli, J. Noland White

Chapter1: The Science Of Psychology

Section: Chapter Questions

Problem 1TY

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Related questions

Question

What is H₀?

Choice Answers:

1. The mean of group 1 is not the same as the mean of group 2

2. The mean of group 1 is the same as the mean of group 2

3. The number of errors for 8 hours sleep deprivation is different than the number of errors for 24 hours sleep deprivation

4. The number of errors for 8 hours sleep deprivation is equal to the number of errors for 24 hours sleep deprivation

5. The number of errors for 8 hours sleep deprivation is not different than the number of errors for 24 hours sleep deprivation

6.The number of errors for 8 hours sleep deprivation is not equal to the number of errors for 24 hours sleep deprivation

7. The number of errors for 8 hours sleep deprivation is not the same as the number of errors for 24 hours sleep deprivation

8. The number of errors for 8 hours sleep deprivation is the same as the number of errors for 24 hours sleep deprivation

### Paired Samples Analysis on Sleep Deprivation and Errors

#### Paired Samples Statistics

- **Mean**
- Errors after 8 hours sleep deprivation: 6.75
- Errors after 24 hours sleep deprivation: 13.90
- **N (Number of participants):** 20 for both conditions
- **Standard Deviation**
- 8 hours: 2.124
- 24 hours: 2.024
- **Standard Error Mean**
- 8 hours: 0.475
- 24 hours: 0.452

#### Paired Samples Correlations

- **Correlation between conditions:** -0.263
- **Significance**
- One-Sided p: 0.131
- Two-Sided p: 0.262

#### Paired Samples Test

- **Paired Differences**
- **Mean Difference:** -7.150
- **Standard Deviation:** 3.297
- **Standard Error Mean:** 0.737
- **95% Confidence Interval of the Difference**
- Lower: -8.693
- Upper: -5.607
- **t-value:** -9.698
- **Degrees of Freedom (df):** 19
- **Significance**
- One-Sided p: < 0.001
- Two-Sided p: < 0.001

#### Paired Samples Effect Sizes

- **Cohen's d**
- **Standardizer:** 3.297
- **Point Estimate:** -2.169
- **95% Confidence Interval**
- Lower: -2.972
- Upper: -1.348
- **Hedges' Correction**
- **Standardizer:** 3.364
- **Point Estimate:** -2.125
- **95% Confidence Interval**
- Lower: -2.913
- Upper: -1.321

**Note:**
The denominator used in estimating the effect sizes is explained in the footnote. Cohen's d and Hedges' correction use standard deviations from the mean difference and a correction factor, respectively.

Expert Solution

Step 1

Null hypothesis or H₀ is nothing but the no association and no difference. It suggests that there is no statistical relationship between two variables of an experiment. Example of null hypothesis can be taken from an experiment of whether cats care about the color of the food that they are consuming. And the null hypothesis would be that cats do not express distinct interest or preference in the color of the food that they are given. It is a default hypothesis which measures to zero in quantity.