In: Statistics and Probability
A simple random sample of 20 pages from a dictionary is obtained. The numbers of words defined on those pages are found, with the results n=20, x overbar=52.8 words, s=15.4 words. Given that this dictionary has 1442 pages with defined words, the claim that there are more than 70,000 defined words is equivalent to the claim that the mean number of words per page is greater than 48.5 words. Use a 0.05 significance level to test the claim that the mean number of words per page is greater than 48.5 words. What does the result suggest about the claim that there are more than 70,000 defined words? Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. Assume that the population is normally distributed.
What are the null and alternative hypotheses?
A. H0: μ>48.5 and H1: μ<48.5 words
B. H0: μ=48.5 and H1: μ≠48.5 words
C. H0: μ=48.5 and H1: μ>48.5 words
D. H0: μ=48.5 and H1: μ<48.5 words
Determine the test statistic. ___ (round to two decimals places)
Reject
Fail to reject
Upper H 0H0.
There is ____ (sufficient or not sufficient evidence) to support the claim that there___ (are more than, are, are fewer than) 70,000 defined words in the dictionary
Solution :
Given that,
This a right (One) tailed test.
The null and alternative hypothesis is,
C)
Ho: 48.5
Ha: 48.5
The test statistics,
t =( - )/ (s /n)
= ( 52.8 - 48.5) / ( 15.4 / 20 )
= 1.25
P-value = 0.1132
The p-value is p = 0.1132 > 0.05, it is concluded that fail to reject the null hypothesis.
There is not sufficient evidence to support the claim that there are more than 70,000 defined words in the dictionary.