7.012
AP Statistics: Module Seven: Means and Slope
07.01: Hypothesis Testing—One-Sample Mean
Introduction
Context: A manufacturer of the Kiddie-Go-Round requires that each seat's mean weight limit should not exceed 110 pounds.
Objective: To test if the manufacturer's seats meet this requirement using a sample.
Hypothesis Test
Parameters
Let ( \mu ) equal the true mean weight limit of a Kiddie-Go-Round seat.
Null Hypothesis (H0): ( \mu = 110 ) (The mean weight limit of a Kiddie-Go-Round seat is 110 pounds.)
Alternative Hypothesis (Ha): ( \mu > 110 ) (The mean weight limit of a Kiddie-Go-Round seat is greater than 110 pounds.)
Conditions for Hypothesis Testing
Simple Random Sample: Sample obtained was chosen at random.
Independence: Assumption holds as there are more than 250 Kiddie-Go-Round seats, ensuring independence.
Normality: Sample size ( n = 25 ), checking for large outliers or extreme skew. Caution should be taken if conditions are violated.
Page 2: Performing a One-Sample t-Test
Calculations
Significance Level: ( \alpha = 0.05 )
t-Statistic Calculation:[ t = \frac{112.7 - 110}{9.62 / \sqrt{25}} = \frac{2.7}{1.924} \approx 1.4033 ]
Finding p-value:
Use Table B in the AP Resource Packet with ( df = 25 - 1 = 24 )
t Distribution Critical Values: Locate where ( t = 1.4033 ) falls.
Critical Values from Table B
t-values for different tail probabilities up to 0.10 and 0.05 are read off:
1.318: p = 0.05
1.729: p = 0.10
Page 3: Conclusion from t-Test
p-Value Analysis
Finding p-value Range: ( t = 1.4033 ) lies between 1.318 and 1.729, indicating:
p-value: Between 0.05 and 0.10.
Exact p-value Calculation: Use calculator to find exact p-value using the command
tcdf.
Result of Statistical Test
Conclusion: Calculated p-value ( p = 0.0867 ) is greater than ( \alpha = 0.05 )
Decision: Fail to reject the null hypothesis.
Interpretation: Not sufficient evidence to suggest that the mean weight limit of a Kiddie-Go-Round seat exceeds 110 pounds.
Page 4: Significance Level Impact
Changing Significance Level to 0.10
Comparison: If ( \alpha = 0.10 ):
Since ( p = 0.0867 < 0.10 ), reject H0.
Conclusion Change: Sufficient evidence suggests the mean weight limit is greater than 110 pounds.
Key Takeaway
Different significance levels can lead to different conclusions regarding hypothesis testing, illustrating the inherent variation in statistics.
Type I Error Consideration: Selecting a level of significance affects the chance of making a Type I error.