In: Statistics and Probability
When bonding teeth, orthodontists must maintain a dry field. A new bonding adhesive has been developed to eliminate the necessity of a dry field. However, there is concern that the new bonding adhesive is not as strong as the current standard, a composite adhesive. Tests on a sample of 9 extracted teeth bonded with the new adhesive resulted in a mean breaking strength(after 24 hours) of overbar x=5.78 Mpa and a standard deviation of s=0.41 Mpa. Orthodontists want to know if the true mean breaking strength is less than 6.35 Mpa, the mean breaking strength of the composite adhesive.
A) We must assume that the sample was not random and selected from a population with a highly skewed distribution.
B.)We must assume that the sample was random and selected from a population with a distribution that is approximately normal.
C.)We must assume that the sample was not random and selected from a normally distributed population.
D).We must assume that the sample was random and selected from a population that is highly skewed.
Let denote the true mean breaking strength.
We have to test:
Vs
For a small sample ( n = 9) and for unknown population variance, (since, we only have the mean and standard deviation of the sample), the appropriate statistic to be used here is given by:
The use of t test requires the following pre-requisites or assumptions:
- The data must be normally distributed
Only then can we claim that and hence, derive the test statistic t
- The data is collected from a representative, randomly selected portion of the total population.
Otherwise the measures mat not be reliable as they may be biased due to non-representatives of the sample , based on which these measures are computed.
Hence, to test the claim,
B.)We must assume that the sample was random and selected from a population with a distribution that is approximately normal.