Step 3: Compute the t-Statistic (use t-test calculator for verification)
Using the t-distribution formula:
Step 4: Determine Degrees of Freedom (df)
𝑑𝑓 = 𝑛 − 1
= 30 − 1 = 29
Step 5: Find the Critical t-Value
Using a t-table or calculator for df = 29 and α = 0.05 (two-tailed test), the critical t-value is approximately ±2.045.
Step 6: Compare and Make a Decision
Since the calculated t-value (2.74) is greater than the critical value (2.045), we reject the null hypothesis.
Conclusion:
There is significant evidence to suggest that the actual caffeine content in the espresso blend is different from the claimed 120 mg.
Can You Do These?
Directions: Solve the following problems and check your answers using the provided t-test calculator.
Problem 1: Fast Food Calories 🍔
A restaurant claims that their grilled chicken sandwich contains an average of 500 calories. A random sample of 36 sandwiches was tested, revealing an average calorie content of 510 calories with a standard deviation of 20 calories. Test if the true calorie count is different from the claimed 500 calories at α = 0.05.
Problem 2: Video Game Reaction Time 🎮
A game developer claims that the average reaction time of players in a new FPS game is 350 milliseconds. A test with 40 players showed an average reaction time of 342 milliseconds with a standard deviation of 15 milliseconds. Test if the average reaction time is significantly different from 350 ms at α = 0.05.
Problem 3: Student Study Hours 📚
A university states that students study for an average of 15 hours per week. A survey of 25 students found an average of 13 hours with a standard deviation of 5 hours. Test if the study hours are significantly different from the claim at α = 0.05.
Problem 4: Energy Drink Caffeine Content ☕
An energy drink company claims that each can contains 160 mg of caffeine. A lab test of 30 cans showed an average caffeine content of 165 mg with a standard deviation of 8 mg. Test if the actual caffeine content is different at α = 0.05.


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