In: Math
Are very young infants more likely to imitate actions that are modeled by a person or simulated by an object? This question was the basis of a research study. One action examined was mouth opening. This action was modeled repeatedly by either a person or a doll, and the number of times that the infant imitated the behavior was recorded. Twenty-seven infants participated, with 12 exposed to a human model and 15 exposed to the doll. Summary values are shown below.
Person Model | Doll Model | |
---|---|---|
x |
5.10 | 3.48 |
s | 1.60 | 1.30 |
Is there sufficient evidence to conclude that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll? Test the relevant hypotheses using a 0.01 significance level. (Use a statistical computer package to calculate the P-value. Use μPerson − μDoll. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
t=
df=
P-value=
State your conclusion.
We reject H0. We do not have convincing evidence that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.
We do not reject H0. We have convincing evidence that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.
We reject H0. We have convincing evidence that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.We do not reject H0.
We do not have convincing evidence that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.
Solution:
Here, we have to use two sample t test for the difference between two population means assuming equal population variances. The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: the mean number of imitations is not higher for infants who watch a human model than for infants who watch a doll.
Alternative hypothesis: Ha: the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.
H0: µ1 ≤ µ2 versus Ha: µ1 > µ2
µ1 = μPerson
µ2 = μDoll
Test statistic formula for pooled variance t test is given as below:
t = (X1bar – X2bar) / sqrt[Sp2*((1/n1)+(1/n2))]
Where Sp2 is pooled variance
Sp2 = [(n1 – 1)*S1^2 + (n2 – 1)*S2^2]/(n1 + n2 – 2)
We are given
X1bar = 5.1
X2bar = 3.48
S1 = 1.6
S2 = 1.3
n1 = 12
n2 = 15
df = n1 + n2 – 2 = 12 + 15 – 2 = 25
α = 0.01
Critical value = 2.4851
(by using t-table)
Sp2 = [(n1 – 1)*S1^2 + (n2 – 1)*S2^2]/(n1 + n2 – 2)
Sp2 = [(12 – 1)*1.6^2 + (15 – 1)*1.3^2]/(12 + 15 – 2)
Sp2 = 2.0728
t = (X1bar – X2bar) / sqrt[Sp2*((1/n1)+(1/n2))]
t = (5.1 – 3.48) / sqrt[2.0728*((1/12)+(1/15))]
t = 1.62/0.5576
t = 2.9053
P-value = 0.0038
(by using t-table)
P-value < α = 0.01
So, we reject the null hypothesis
There is sufficient evidence to conclude that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.
We reject H0. We have convincing evidence that the mean number of imitations is higher for infants who watch a human model than for infants who watch a doll.