Question

In: Statistics and Probability

Researchers were interested in determining whether there was a difference in crime rates in areas where...

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.

  1. State the null and alternate hypotheses.
  2. What is the independent variable?
  3. What is the dependent variable?
  4. Complete the table below:

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

Solutions

Expert Solution

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 .


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