SciPy - Curve Fitting and Regression
Which of the following is the correct syntax to calculate a 90% confidence interval for sample mean using scipy.stats.t.interval?
Which of the following is the correct syntax to calculate a 90% confidence interval for sample mean using scipy.stats.t.interval?
easy📝 Conceptual Q3 of 15
Step-by-Step Solution
Solution:
Step 1: Recall scipy.stats.t.interval parameter order
First parameter is confidence level, second is degrees of freedom (df).Step 2: Check keyword arguments for mean and standard error
loc=mean, scale=standard error are correct keywords.Final Answer:
t.interval(0.90, df, loc=mean, scale=std_err) -> Option AQuick Check:
Correct syntax = t.interval(0.90, df, loc=mean, scale=std_err) [OK]
Quick Trick: Confidence level first, then df, then loc and scale [OK]
Common Mistakes:
- Swapping confidence level and df
- Passing df as keyword incorrectly
- Misordering positional arguments
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