[Solved] What will be the output of this code snippet?import numpy as np from scipy import stats data = np.array([5, 7, 8, 9, 10]) mean = np.mean(data) conf_int = stats.t.interval(0.... | SciPy

SciPy - Statistical Functions (scipy.stats) Basics

What will be the output of this code snippet?

import numpy as np
from scipy import stats

data = np.array([5, 7, 8, 9, 10])
mean = np.mean(data)
conf_int = stats.t.interval(0.95, len(data)-1, loc=mean, scale=stats.sem(data))
print(conf_int)

AAn error because stats.sem is not defined

BA single number representing the mean

CA tuple with two numbers showing the 95% confidence interval

DA list of all data points

Step-by-Step Solution

Solution:

Step 1: Understand the code's purpose
The code calculates the mean and then the 95% confidence interval using t-distribution and standard error of the mean.
Step 2: Analyze the output of stats.t.interval
This function returns a tuple with lower and upper bounds of the confidence interval, so the print statement outputs a tuple of two numbers.
Final Answer:
A tuple with two numbers showing the 95% confidence interval -> Option C
Quick Check:
stats.t.interval returns confidence bounds = A [OK]

Quick Trick: t.interval returns a tuple (low, high) for confidence [OK]

Common Mistakes:

MISTAKES

Expecting a single number instead of a tuple
Confusing stats.sem with undefined function
Thinking output is the raw data list

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What will be the output of this code snippet?

Step 1: Understand the code's purpose

Step 2: Analyze the output of stats.t.interval

Final Answer:

Quick Check:

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