Question
Question: What critical value would you use for a \(95\%\) confidence interval based on \(t\left( 21 \right)\)...
What critical value would you use for a 95% confidence interval based on t(21) distribution?
Solution
This type of question needs the knowledge of test distribution. The t-value measures the size of the difference relative to the variation in your sample data. To solve the problem we will first find the significance level with the help of confidence percentage.
Complete step-by-step answer:
The question asks us to find the critical value that needs to be used for 95% confidence interval which is based on the t(21) distribution. Starting with the explanation of t-distribution. T-tests are statistical hypothesis test that you use to analyze one or two sample means. The T distribution is a continuous probability distribution of the z-score when the estimated standard deviation is used in the denominator rather than the true standard deviationThe first step is to find the significance level which is the difference between 1 and confidence. So mathematically it will be represented as:
Significance level = α = 1- confidence
The value of the confidence given in the question is 95% . We need to convert the percentage into decimal form which could be done by dividing the number by 100.
⇒10095=0.95
On putting the decimal value we get:
⇒1- 0.95
⇒0.05
The second step is to find the critical t- value = t2α
⇒t20.05
⇒t0.025
The below table entries represent the area under the standard normal curve.
dt/p | 0.10 | 0.05 | 0.025 | 0.01 | 0.0005 |
---|---|---|---|---|---|
19 | 1.327728 | 1.729133 | 2.09302 | 2.53948 | 2.86093 |
20 | 1.325431 | 1.724718 | 2.08596 | 2.52798 | 2.84534 |
21 | 1.323188 | 1.720743 | 2.07961 | 2.51765 | 2.83136 |
22 | 1.321237 | 1.717144 | 2.07387 | 2.50832 | 2.81876 |
23 | 1.319460 | 1.713872 | 2.06866 | 2.49987 | 2.80734 |
As in the question, df is given as 21 and the confidence critical value is 0.025, so on taking the intersection of the two we get 2.07961 .
∴ The critical value that would be used for a 95% confidence interval based on t(21) distribution is 2.07961.
Note: To convert the percentage into the fraction we actually divide the number in fraction by hundred removing the percentage sign. For example 32% can be converted into fraction by 10032. The T-distribution, like the normal distribution, is bell-shaped and symmetric, but it has heavier tails, which means it tends to produce values that fall far from its mean. T-tests are used in statistics to estimate significance.