Step-by-step explanation:
midpoint of BC is 63 middle of 60 and 65
<span>20, 21, 22, 24, 25, 26, 27, 28, 30. hope that helped</span>
Answer:
The 90% confidence interval using Student's t-distribution is (9.22, 11.61).
Step-by-step explanation:
Since we know the sample is not big enough to use a z-distribution, we use student's t-distribution instead.
The formula to calculate the confidence interval is given by:
Where:
is the sample's mean,
is t-score with n-1 degrees of freedom,
is the standard error,
is the sample's size.
This part of the equation is called margin of error:
We know that:
degrees of freedom
Replacing in the formula with the corresponding values we obtain the confidence interval:

No, we can only suppose that the observed distribution deviates from the expected distribution when we reject the null hypothesis.
<h3>What is a null hypothesis?</h3>
The null hypothesis exists as a specific mathematical theory that claims that there exists no statistical relationship and significance between two sets of observed data and estimated phenomena for each set of selected, single observable variables. The null hypothesis can be estimated to define whether or not there exists a relationship between two measured phenomena, which creates it useful. It can let the user comprehend if the outcomes exist as the product of random events or intentional manipulation of a phenomenon.
To learn more about the null hypothesis refer to:
brainly.com/question/13135308
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Answer:
28
Step-by-step explanation: