In: Statistics and Probability
Researchers were interested in determining whether there was a difference in crime rates in areas where there is high youth unemployment vs low youth unemployment. Alpha (level of significance) was set at .05.
Low Youth Unemployment |
High Youth Unemployment |
|
Sample Size |
||
Sample Mean |
||
Sample Standard Deviation |
||
Estimated Standard Error |
Group Statistics |
||||
High Youth Unemployment |
N |
Mean |
Std. Deviation |
|
Crime rate (number of offences per million population) |
0 No |
32 |
108.4063 |
27.32246 |
1 Yes |
15 |
90.8667 |
29.42049 |
Group Statistics |
||
High Youth Unemployment |
Std. Error Mean |
|
Crime rate (number of offences per million population) |
0 No |
4.82997 |
1 Yes |
7.59634 |
Result:
Researchers were interested in determining whether there was a difference in crime rates in areas where there is high youth unemployment vs low youth unemployment. Alpha (level of significance) was set at .05.
State the null and alternate hypotheses.
Ho: µ1 = µ2 H1: µ1 ≠ µ2
Ho: there is no mean difference in crime rates between low and high youth unemployment .
H1: there is a mean difference in crime rates between low and high youth unemployment .
What is the independent variable?
Level of youth unemployment(low and high)
What is the dependent variable?
Crime rate
Complete the table below:
Low Youth Unemployment |
High Youth Unemployment |
|
Sample Size |
32 |
15 |
Sample Mean |
108.4063 |
90.8667 |
Sample Standard Deviation |
27.32246 |
29.42049 |
Estimated Standard Error |
4.82997 |
7.59634 |
Group Statistics |
||||
High Youth Unemployment |
N |
Mean |
Std. Deviation |
|
Crime rate (number of offences per million population) |
0 No |
32 |
108.4063 |
27.32246 |
1 Yes |
15 |
90.8667 |
29.42049 |
Group Statistics |
||
High Youth Unemployment |
Std. Error Mean |
|
Crime rate (number of offences per million population) |
0 No |
4.82997 |
1 Yes |
7.59634 |
Pooled-Variance t Test for the Difference Between Two Means |
|
(assumes equal population variances) |
|
Data |
|
Hypothesized Difference |
0 |
Level of Significance |
0.05 |
Population 1 Sample |
|
Sample Size |
32 |
Sample Mean |
108.4063 |
Sample Standard Deviation |
27.32246 |
Population 2 Sample |
|
Sample Size |
15 |
Sample Mean |
90.8667 |
Sample Standard Deviation |
29.42049 |
Intermediate Calculations |
|
Population 1 Sample Degrees of Freedom |
31 |
Population 2 Sample Degrees of Freedom |
14 |
Total Degrees of Freedom |
45 |
Pooled Variance |
783.5541 |
Standard Error |
8.7592 |
Difference in Sample Means |
17.5396 |
t Test Statistic |
2.0024 |
Two-Tail Test |
|
Lower Critical Value |
-2.0141 |
Upper Critical Value |
2.0141 |
p-Value |
0.0513 |
Do not reject the null hypothesis |
Test statistic t = 2.0024
DF = n1+n2-2 =45
Table value of t with 45 DF at 0.05 level = 2.0141
Rejection Region: Reject Ho if t < -2.0141 or t > 2.0141
Calculated t = 2.0024, not in the rejection region
The null hypothesis is not rejected.
We conclude that there was no mean difference in crime rates between low and high youth unemployment .