Question
The table below shows the relationship between watching TV news (number of days per week) and...
The table below shows the relationship between watching TV news (number of days per week) and fear of crime (0 = very low…. 10=very high) expressed by a sample of 10 people. Would you say that watching the news increases one’s fear of crime? It will save you time to use Excel to answer the questions, but you can use the formula from your book to calculate Pearson’s r] [15 points]
|
TV news (days watched per week) |
Fear of crime |
|
1 |
2 |
|
2 |
7 |
|
2 |
2 |
|
3 |
5 |
|
3 |
3 |
|
6 |
5 |
|
6 |
5 |
|
6 |
5 |
|
7 |
3 |
|
7 |
3 |
- Identify the independent (X) and dependent (Y) variables
- Produce a scatterplot in Excel or by hand
- Formulate the null and alternative hypotheses
- Test the null hypothesis using the Pearson correlation coefficient r [make sure you report the critical r that you used to reach a statistical conclusion]
- Interpret your results
- What percentage in variation in fear of crime is explained by the number of days one watches TV news? [Hint: you need to calculate the coefficient of determination to answer this question]
Homework Answers
Answer #1
The independent (X) = Tv News (days watched per week)
and dependent (Y) variables=Fear of crime
scatterplot
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