Math Problem Statement

What is the test statistic and p-value for the given paired sample pre-test and post-test data?

Solution

To determine the test statistic and p-value for this paired t-test problem, we need to follow these steps:


Step 1: Calculate the differences between pre-test and post-test values

The difference for each pair is:

di=(post-test)(pre-test)d_i = (\text{post-test}) - (\text{pre-test})

We will compute the differences for all 20 pairs.


Step 2: Compute the mean of the differences

Let dˉ\bar{d} be the mean of all differences:

dˉ=din\bar{d} = \frac{\sum d_i}{n}


Step 3: Compute the standard deviation of the differences

The standard deviation of the differences is:

sd=(didˉ)2n1s_d = \sqrt{\frac{\sum (d_i - \bar{d})^2}{n-1}}


Step 4: Calculate the test statistic

The test statistic for a paired t-test is given by:

t=dˉsd/nt = \frac{\bar{d}}{s_d / \sqrt{n}}

Where:

  • nn is the sample size (number of pairs),
  • dˉ\bar{d} is the mean of the differences,
  • sds_d is the standard deviation of the differences.

Step 5: Determine the p-value

Once we compute the t-statistic, we can determine the p-value using the t-distribution with n1n-1 degrees of freedom.


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Math Problem Analysis

Mathematical Concepts

Hypothesis Testing
Paired t-test
Statistics

Formulas

Difference: di = post-test - pre-test
Mean of differences: d̄ = Σd / n
Standard deviation of differences: sd = sqrt(Σ(di - d̄)^2 / (n-1))
Test statistic: t = d̄ / (sd / sqrt(n))

Theorems

t-distribution

Suitable Grade Level

Undergraduate Level (Statistics)