You are testing the claim that the mean GPA of night students is different than the mean GPA of day students. You sample 60 night students, and the sample mean GPA is 2.63 with a standard deviation of 0.56 You sample 45 day students, and the sample mean GPA is 2.62 with a standard deviation of 0.98
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![## Hypothesis Testing for Difference in Means
### Scenario
You are testing the claim that the mean GPA of night students is different from the mean GPA of day students.
1. **Night Students:**
- Sample Size (n₁): 60
- Sample Mean (x̄₁): 2.63
- Standard Deviation (s₁): 0.56
2. **Day Students:**
- Sample Size (n₂): 45
- Sample Mean (x̄₂): 2.62
- Standard Deviation (s₂): 0.98
### Task
Calculate the test statistic, rounded to two decimal places.
To test the hypothesis, we use the formula for the test statistic for the difference between two means:
\[
t = \frac{(x̄₁ - x̄₂)}{\sqrt{\left( \frac{s₁²}{n₁} + \frac{s₂²}{n₂} \right) }}
\]
Where:
- \( x̄₁ \) and \( x̄₂ \) are the sample means for night and day students respectively.
- \( s₁ \) and \( s₂ \) are the standard deviations of the samples.
- \( n₁ \) and \( n₂ \) are the sample sizes.
By substituting the given values into the formula, you can calculate the test statistic.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbbcfe71f-e5aa-493d-ada8-4282b114e3cf%2Fe74c0c86-7d34-4229-88f6-6100629f3830%2Fo5bv5j9_processed.jpeg&w=3840&q=75)
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