In: Statistics and Probability
Do positive or negative messages have a greater effect
on behavior? Forty-two subjects were randomly assigned to one of
two treatment groups, 21 per group. In one group, subjects read an
introduction about a nonprofit organization followed by a negative
message encouraging subjects to sign a petition for cleaner lakes.
In the other group, subjects read the same introduction followed by
a positive message encouraging subjects to sign the petition. All
subjects were then tested to determine how strongly they intended
to sign the petition, with higher scores indicating greater intent.
The 21 subjects receiving the negative message had a mean score of
9.64 with standard deviation 3.43; the 21 subjects receiving the
positive message had a mean score of 15.84 with standard deviation
8.65.
At ? = 0.05, is there enough evidence to say that a negative message results in a lower mean score?
Do positive or negative messages have a greater effect on behavior? Forty-two subjects were randomly assigned to one of two treatment groups, 21 per group. In one group, subjects read an introduction about a nonprofit organization followed by a negative message encouraging subjects to sign a petition for cleaner lakes. In the other group, subjects read the same introduction followed by a positive message encouraging subjects to sign the petition. All subjects were then tested to determine how strongly they intended to sign the petition, with higher scores indicating greater intent. The 21 subjects receiving the negative message had a mean score of 9.64 with standard deviation 3.43; the 21 subjects receiving the positive message had a mean score of 15.84 with standard deviation 8.65.
At ? = 0.05, is there enough evidence to say that a negative message results in a lower mean score?
Lower tail test
t = -3.0533
DF = n1+n2-2 =40
Table value of t with 40 DF at 0.05 level = -1.6839
Rejection Region: Reject Ho if t < -1.6839
Calculated t = -3.0533, falls in the rejection region
The null hypothesis is rejected.
There is enough evidence to say that a negative message results in a lower mean score.
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 |
21 |
Sample Mean |
9.64 |
Sample Standard Deviation |
3.43 |
Population 2 Sample |
|
Sample Size |
21 |
Sample Mean |
15.84 |
Sample Standard Deviation |
8.65 |
Intermediate Calculations |
|
Population 1 Sample Degrees of Freedom |
20 |
Population 2 Sample Degrees of Freedom |
20 |
Total Degrees of Freedom |
40 |
Pooled Variance |
43.2937 |
Standard Error |
2.0306 |
Difference in Sample Means |
-6.2000 |
t Test Statistic |
-3.0533 |
Lower-Tail Test |
|
Lower Critical Value |
-1.6839 |
p-Value |
0.0020 |
Reject the null hypothesis |