In: Statistics and Probability
We want to test to see whether the data taken from 25 test experiments is consistent with the mean equal to 10.3 (µ = 10.3)
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We want to test to see whether the
data taken from 25 test experiments is consistent with the mean
equal to 10.3 (µ = 10.3), or is more consistent with the mean
greater than 10.3 (µ > 10.3).
Use Summary 5b, Table 2, Column 1.
- What is the null hypothesis Ho for our test?
- What is the alternative hypothesis Ha?
- What type of tail test will we use? (left tail, right tail, or
two tails)?
- What is the mean of the sample xbar?
- What is the standard deviation of the sample s?
- What is the size of the sample n?
- We going to use a t-statistic. Explain why we are not going to
use a z-statistic.
- Calculate the t-statistic using xbar, µ, n, and s.
- How many degrees of freedom does this data set have?
- Use the t-distribution calculator to compute a p-value. Include
a screen shot of your answer.
- We want a 99% confidence level. Based on your value of p,
should we accept or reject the null hypothesis?
- What if we want a 95% confidence level? Based on your value of
p, should we accept or reject the null hypothesis?