Question

In: Statistics and Probability

  Do positive or negative messages have a greater effect on behavior? Forty-two subjects were randomly assigned...


  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?

Solutions

Expert Solution

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


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