A linguistics expert is interested in learning about the amount of time people in his industry spend studying a new language. A random sample of 15 people in his industry were surveyed for a hypothesis test about the mean time people studied a new language last year. He conducts a one-mean hypothesis test, at the 10% significance level, to test the recent publication that the amount of time people in his industry are studying a new language was 30 minutes per week.
dfdf | t0.10t0.10 | t0.05t0.05 | t0.025t0.025 | t0.01t0.01 | t0.005t0.005 |
---|---|---|---|---|---|
...... | ... | ... | ... | ... | ... |
1313 | 1.350 | 1.771 | 2.160 | 2.650 | 3.012 |
1414 | 1.345 | 1.761 | 2.145 | 2.624 | 2.997 |
1515 | 1.341 | 1.753 | 2.131 | 2.602 | 2.947 |
1616 | 1.337 | 1.746 | 2.120 | 2.583 | 2.921 |
Determine the critical value(s) using the partial t−table above. If entering two critical values, use ±.
given data are sample n = 15
claim is:- the amount of time people in his industry are studying a new language was 30 minutes per week
then population mean is u= 30
null hypothesis H0: - u=30
alternative hypothesis Ha: - u 30
so it is a two tailed test .
given =10% =0.10
then at =0.05 & df= n-1 = 15-1=14 from t table
t critical values are t 1.761
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