Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
Transcript of Statistic
Fei Qi Research of Crime In Canada Two-Sample t-Test Independence assumption Two-Sample t-Test whether the crime is worse in larger cities than in small cities Congratulations Finally, we find the exit! Background Introduction
Large cities are more dangerous than small ones?
In this case, Crime Severity Index(CSI) and populations in each city are the two main factors we want to analyze. CATALOGUE 1. Introduction and Crime Severity
2. Map Of Regions and Scatterplots
3. Linear Correlation Between Regions
4. Linear Correlation Between Large &
5. T-Test (Part 1)
6. T-Test (Part 2)
8. Q & A Important Defination Crime Severity Index (CSI) : An Index based on the seriousness of crimes.
Higher the CSI is, more serious crime rate is existing in the city. Lin Zhu Hao Zhang Canada Regional Map Atlantic Quebec Ontario Prairies West Regional Scatterplots Conclusion Big Cities' Correlation Small Cities' Scatterplots Correlation and Scatterplots Big Cities' Scatterplots Small Cities' Correlation Now it's time for QUESTIONS Both variables are quantitative Plot linear no outliers The correlation of big cities
is -0.53925, it is negative The correlation of small cities
is -0.09028, it is negative Randomization condition Independent group assumption Nearly normal condition Using software, we obtain the following basic statistics: The difference is not statistically significant,with a P-value:0.34>0.05. So This value fail to reject the null hypothesis. R= -0.53925
negative correlation R= -0.09028
negative correlation R=0.31888 R=0.63636 R=-0.23757 R=-0.79389 R=-0.55186