In: Statistics and Probability
Sample Size: 52
LIVE BIRTHS
Mean | 6911 |
Median | 4750 |
Standard Deviation | 8161.31 |
Minimum | 582 |
Maximum | 46,424 |
DEATHS
Mean | 3958 |
Median | 2964 |
Standard Deviation |
4039.60 |
Minimum | 280 |
Maximum | 19,767 |
MARRIAGES
Mean | 3876 |
Median | 2792 |
Standard deviation | 4424.42 |
Minimum | 215 |
Maximum | 21,368 |
DIVORCES
Mean | 1587 |
Median | 1340 |
Standard Deviation | 1427.25 |
Minimum | 98 |
Maximum | 6400 |
The null and alternative hypothesis are:
The null hypothesis, Ho: µ ≤ 5000.
The average amount of deaths is less than or equal to 5000.
Alternative hypothesis, H1: µ > 5000.
The average amount of deaths is more than 5000.
Give the value of the test statistic.
We are given with:
Sample mean, x = 3877.19
Standard Deviation, s = 3950.91
Significance level, α = 0.10
Sample size, n = 52
Degree of freedom, df = n - 1 = 52 – 1 = 51
Test statistic, t = (x - µ)/s/ Ön
= (3877.19– 5000)/3950.91/Ö52
= (-2122.81)/3950.91/Ö52
= - 3.874
Report the P-Value.
P-value with df= 51 and test statistic = -3.874 at α = 0.10 is, 0.0002.
Clearly state your conclusion (Reject the Null or Fail to Reject the Null)
Since the p-value is less than the significance level, we can reject the null hypothesis. 0.0002<0.10.
Explain what your conclusion means in context of the data.
Therefore, we have insufficient evidence to conclude the average amount of deaths is less than or equal to 5000.