In: Statistics and Probability
Single data values (in hours): 3, 1, 4, 5, 5, 2, 2.5, 3.5, 4, 4.5, 0, 2, 2, 2.5, 3.5, 4, 4, 4, 4, 2, 3.5, 3.5, 2, 3, 4, 4, 3, 3, 3, 1
Claim: It was found that the mean time spent watching TV daily was 4 hours. A researcher claims that he believes the mean time spent watching TV is truly lower. The mean time spent watching TV daily is less than 4 hours.
Null Hypothesis: H0: μ=4 hours Alternative Hypothesis: Ha: μ<4 hours
1. What is the t-statistic? What is the P-value? What is the conclusion:
2. Create a claim based off of the data below and state the claim.
Athletes |
Non-athletes |
3.7 |
2.5 |
3.1 |
4.1 |
4.2 |
4.2 |
4.2 |
4.2 |
3.4 |
3.0 |
3.7 |
3.8 |
2.1 |
2.1 |
3.5 |
2.7 |
3.6 |
1.8 |
4.0 |
2.0 |
2.9 |
3.6 |
3.2 |
3.9 |
2.9 |
2.6 |
3.5 |
2.8 |
3.6 |
3.1 |
3.4 |
3.5 |
2.9 |
3.5 |
3.9 |
3.6 |
2.8 |
2.9 |
3.1 |
2.7 |
3.1 |
3.2 |
3.6 |
3.3 |
2.6 |
3.4 |
3.8 |
1.9 |
3.4 |
1.9 |
3.4 |
3.1 |
3.4 |
2.7 |
3.2 |
1.8 |
2.8 |
3.0 |
3.7 |
2.2 |
Null Hypothesis
Alternative Hypothesis
Test Statistic
P-value
Conclusion – reject or fail to reject null.
Interpretation - final conclusion.
1.
Given that,
population mean(u)=4
sample mean, x =3.0833
standard deviation, s =1.196
number (n)=30
null, Ho: μ=4
alternate, H1: μ<4
level of significance, alpha = 0.05
from standard normal table,left tailed t alpha/2 =1.699
since our test is left-tailed
reject Ho, if to < -1.699
we use test statistic (t) = x-u/(s.d/sqrt(n))
to =3.0833-4/(1.196/sqrt(30))
to =-4.1981
| to | =4.1981
critical value
the value of |t alpha| with n-1 = 29 d.f is 1.699
we got |to| =4.1981 & | t alpha | =1.699
make decision
hence value of | to | > | t alpha| and here we reject Ho
p-value :left tail - Ha : ( p < -4.1981 ) = 0.00012
hence value of p0.05 > 0.00012,here we reject Ho
ANSWERS
---------------
null, Ho: μ=4
alternate, H1: μ<4
test statistic: -4.1981
critical value: -1.699
decision: reject Ho
p-value: 0.00012
we have enough evidence to support the claim that The mean time
spent watching TV daily is less than 4 hours
2.
Given that,
mean(x)=3.3566
standard deviation , s.d1=0.4753
number(n1)=30
y(mean)=2.97
standard deviation, s.d2 =0.7316
number(n2)=30
null, Ho: u1 = u2
alternate, H1: u1 != u2
level of significance, α = 0.05
from standard normal table, two tailed t α/2 =2.05
since our test is two-tailed
reject Ho, if to < -2.05 OR if to > 2.05
we use test statistic (t) = (x-y)/sqrt(s.d1^2/n1)+(s.d2^2/n2)
to =3.3566-2.97/sqrt((0.22591/30)+(0.53524/30))
to =2.427
| to | =2.427
critical value
the value of |t α| with min (n1-1, n2-1) i.e 29 d.f is 2.05
we got |to| = 2.4271 & | t α | = 2.05
make decision
hence value of | to | > | t α| and here we reject Ho
p-value: two tailed ( double the one tail ) - Ha : ( p != 2.4271 )
= 0.022
hence value of p0.05 > 0.022,here we reject Ho
ANSWERS
---------------
null, Ho: u1 = u2
alternate, H1: u1 != u2
test statistic: 2.427
critical value: -2.05 , 2.05
decision: reject Ho
p-value: 0.022
we have enough evidence to support the claim that difference of
means of two samples