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Research conducted on Smokers and non Smokers to check their Stress Level.

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### Slides for stats

1. 1. Statistics Project Group Members: Pakeeza Arif Wajeeha Ghani
2. 2. Issue: The issue is to check the stress level in smokers. Hypothesis: Male non- smokers have less stress level than male smokers. (one – tailed ) Method of Data Collection: Research survey was done by a stress questionnaire given to the sample population to check the level of stress on them. Sample Population: The Sample population selected was 130 males of age from 15 to 30 among which there were randomly selected smokers and non smokers. Data Analysis: Transform variables to recode into different variables from 5 points (Always true, Often True, sometimes true, Seldom True, and Never True) to 2 points data (True and false).
3. 3. Frequencies Issue: What is the mean, standard deviation, skewness and kurtosis of data on how much people smoke and their age? Interpretation: The data of smokers and non-smokers is negatively skewed and platykurtic. The population sample age is positively skewed and leptokurtic
4. 4. Frequency tables: Issue: How many people in data are smokers and nonsmokers? Interpretation: There are 41.5 % smokers and 58.5 % non-smokers in sample data
5. 5. Interpretation: 59% of people in data are non-smokers  9.2% smoke 1 to 2 Cigarettes daily 13.8% smokes 3 to 5 cigarettes daily  10.8 % smokes 1 packet  more than 1 packet smokers are 6.9 %.
6. 6. Normality Check: Interpretation: The data is not normally distributed because the sample data has more non- smokers than smokers.
7. 7. T-TEST INTERPRETATION: Except for items of speaking openly about feelings, adequate income and calm under stressors, all other items are non-significant.
8. 8. Correlation Interpretation: Negative Correlation: Smoking is negatively correlated with the items of stress related to taking favor from a person, doing exercise at least for two weeks till the point of perspiration, having friends and family and taking time for fun at least once a week. Positive Correlation: Other items are positively correlated which includes taking time for themselves, having calm conversations during stressors, generally in good health and are able to speak openly about feelings and share their personal matters with at least one person and have adequate income. The data is statistically significant.
9. 9. Interpretation According to the comparison between smokers and non smokers through custom table it was found that “The non smokers have less stress than smokers.” OUTLIER:
10. 10. Conclusion: The data occurs to be significant and is not normally distributed. We cannot reach to any conclusion therefore the hypothesis not proved and rejected.