diff --git a/.github/workflows/cat-test-examples.yml b/.github/workflows/cat-test-examples.yml
index d0e86c3..7050c4b 100644
--- a/.github/workflows/cat-test-examples.yml
+++ b/.github/workflows/cat-test-examples.yml
@@ -6,7 +6,7 @@ on:
   workflow_dispatch:
     inputs:
       rounds:
-        description: "Number of Rounds"
+        description: "Number of Rounds 1 - 128"
         type: number
         required: true
         default: 10
@@ -15,6 +15,8 @@ jobs:
   ai_tests:
     name: AI Tests
     runs-on: ubuntu-latest
+    env:
+      TEST_RESULTS_FOLDER: examples/team_recommender/test_runs
 
     steps:
       - uses: actions/checkout@v4
@@ -41,21 +43,30 @@ jobs:
       - name: Set number of runs
         id: set-number-of-runs
         run: |
-          ROUNDS=${{ inputs.rounds || 10 }}
-          [[ $GITHUB_REF_NAME == ci-experiment* ]] && ROUNDS=1
+          [[ "${GITHUB_REF_NAME}" =~ ^ci-experiment/ ]] && ROUNDS=1 || ROUNDS=10
+          ROUNDS=${INPUT_ROUNDS:-$ROUNDS}
+          
+          if [ "$ROUNDS" -gt 128 ] || [ "$ROUNDS" -le 0 ]
+          then
+            echo "Invalid number of rounds: $ROUNDS"
+            exit 1
+          fi
 
-          echo "::notice::Starting $ROUNDS runs"
+          echo "::notice::Starting ${ROUNDS} run$([ "$ROUNDS" -eq 1 ] || echo "s")"
           echo "number_of_runs=$ROUNDS" >> "$GITHUB_OUTPUT"
           echo "CAT_AI_SAMPLE_SIZE=$ROUNDS" >> $GITHUB_ENV
 
       - name: Run Example tests
-        run: uv run pytest examples/team_recommender/tests/example_7_*
+        run: >
+          uv run pytest
+          --verbose --verbosity=10 --capture=no --tb=native --color=yes --showlocals
+          examples/team_recommender/tests/example_7_*
         env:
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
 
 #      - name: Upload artifacts to MinIO
 #        run: |
-#          zip -r test-output-${{ github.run_number }}.zip examples/team_recommender/tests/test_runs
+#          zip -r test-output-${{ github.run_number }}.zip "examples/team_recommender/test_runs"
 #            curl -X PUT -T "/path/to/yourfile.zip" \
 #            -H "Host: localhost:9000" \
 #            -H "Date: $(date -R)" \
@@ -65,32 +76,31 @@ jobs:
 
       - name: Show CAT AI Statistical Report
         if: always()
-        run: |
-          FOLDER=examples/team_recommender/tests/test_runs
-          FAILURE_COUNT=$(find "$FOLDER" -type f -name "fail-*" | wc -l)
+        run: |          
+          FAILURE_COUNT=$(find "$TEST_RESULTS_FOLDER" -type f -name "fail-*.json" | wc -l)
           PYTHONPATH=src uv run python -m cat_ai.reporter \
             "$FAILURE_COUNT" \
             "$CAT_AI_SAMPLE_SIZE" \
             >> "$GITHUB_STEP_SUMMARY"
 
       - name: Upload main artifacts to Google Drive
-        if: always() && github.ref == 'refs/heads/main'
+        if: always() && github.ref_name == 'main'
         run: |
-          zip -r "$FILENAME" examples/team_recommender/tests/test_runs
-          uv run python src/cat_ai/publish_to_gdrive.py "$FILENAME"
+          zip -r "$ZIP_WITH_RUN" "$TEST_RESULTS_FOLDER"
+          uv run python src/cat_ai/publish_to_gdrive.py "$ZIP_WITH_RUN"
         env:
           PARENT_FOLDER_IDS: ${{ vars.GOOGLE_DRIVE_TEST_OUTPUT_FOLDER_ID }}
-          FILENAME: test-output-${{ github.run_number }}.zip
+          ZIP_WITH_RUN: test-output-${{ github.run_number }}.zip
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v4
         if: always()
         with:
             name: test-output-${{ github.run_number }}
-            path: examples/team_recommender/tests/test_runs
+            path: ${{ env.TEST_RESULTS_FOLDER }}
 
-#      - name: Debugging with tmate
-#        if: failure()
-#        uses: lhotari/action-upterm@v1
-#        with:
-#          wait-timeout-minutes: 5
+      - name: Debugging with tmate
+        if: failure()
+        uses: lhotari/action-upterm@v1
+        with:
+          wait-timeout-minutes: 5
diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml
index e8a1b69..e393123 100644
--- a/.github/workflows/python-tests.yml
+++ b/.github/workflows/python-tests.yml
@@ -30,7 +30,11 @@ jobs:
         run: uv sync --all-extras --dev
 
       - name: Run unit tests
-        run: uv run pytest
-      
+        run: >
+          uv run pytest
+          --timeout=10
+          --color=yes
+          --verbose --verbosity=10 --capture=no --tb=native --showlocals 
+
       - name: Type check Python code
         run: uv run mypy src
diff --git a/examples/team_recommender/conftest.py b/examples/team_recommender/conftest.py
index fa49083..cf89e6a 100644
--- a/examples/team_recommender/conftest.py
+++ b/examples/team_recommender/conftest.py
@@ -1,4 +1,10 @@
 from dotenv import load_dotenv
+import sys
+from pathlib import Path
 
 # Load environment variables from .env file
 load_dotenv()
+
+source_folder = str((Path(__file__).parent / "src").resolve())
+print("source_folder", source_folder)
+sys.path.append(source_folder)
diff --git a/examples/team_recommender/src/retry.py b/examples/team_recommender/src/retry.py
new file mode 100644
index 0000000..f203ee4
--- /dev/null
+++ b/examples/team_recommender/src/retry.py
@@ -0,0 +1,60 @@
+import time
+import logging
+from functools import wraps
+from typing import Any, Callable, TypeVar, Optional, Tuple, Type, Union, Dict, List
+
+T = TypeVar('T')
+logger = logging.getLogger(__name__)
+
+def retry(
+    max_attempts: int = 3,
+    exceptions: Tuple[Type[Exception], ...] = (Exception,),
+    initial_delay: float = 1.0,
+    backoff_factor: float = 2.0,
+    logger_name: Optional[str] = None
+) -> Callable:
+    """
+    Retry decorator with exponential backoff for handling transient errors.
+    
+    Args:
+        max_attempts: Maximum number of attempts (including first try)
+        exceptions: Tuple of exception types to catch and retry
+        initial_delay: Initial delay between retries in seconds
+        backoff_factor: Multiplier for delay after each retry
+        logger_name: Optional logger name for custom logging
+        
+    Returns:
+        Decorated function with retry logic
+    """
+    local_logger = logger
+    if logger_name:
+        local_logger = logging.getLogger(logger_name)
+        
+    def decorator(func: Callable[..., T]) -> Callable[..., T]:
+        @wraps(func)
+        def wrapper(*args: Any, **kwargs: Any) -> T:
+            attempt = 1
+            current_delay = initial_delay
+            
+            while True:
+                try:
+                    return func(*args, **kwargs)
+                except exceptions as e:
+                    if attempt >= max_attempts:
+                        local_logger.error(
+                            f"Failed after {max_attempts} attempts: {e.__class__.__name__}: {str(e)}"
+                        )
+                        raise
+                    
+                    local_logger.warning(
+                        f"Attempt {attempt}/{max_attempts} failed with {e.__class__.__name__}: {str(e)}. "
+                        f"Retrying in {current_delay:.2f}s..."
+                    )
+                    
+                    time.sleep(current_delay)
+                    current_delay *= backoff_factor
+                    attempt += 1
+        
+        return wrapper
+    
+    return decorator
diff --git a/examples/team_recommender/src/settings.py b/examples/team_recommender/src/settings.py
new file mode 100644
index 0000000..ca95917
--- /dev/null
+++ b/examples/team_recommender/src/settings.py
@@ -0,0 +1,14 @@
+from pathlib import Path
+
+
+def root_path() -> Path:
+    """Returns the absolute path to the root of the project."""
+    return Path(__file__).parent.parent.resolve()
+
+
+def root_dir() -> str:
+    """Returns the absolute path to the root directory of the project."""
+    return str(root_path())
+
+
+ROOT_DIR = root_dir()
diff --git a/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py b/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py
index e8cd8dc..fb81d8a 100644
--- a/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py
+++ b/examples/team_recommender/tests/example_7_schema_validators/test_response_has_valid_schema.py
@@ -1,9 +1,13 @@
 import json
-import os
+from typing import List
 
+import openai
 from jsonschema import FormatChecker, validate
 from openai import OpenAI
-from tests.settings import ROOT_DIR
+from openai.types.chat.chat_completion import Choice
+
+from settings import root_path, root_dir
+from retry import retry
 
 from cat_ai.reporter import Reporter
 from cat_ai.runner import Runner
@@ -44,7 +48,7 @@ def load_json_fixture(file_name: str) -> dict:
     :param file_name: Name of the JSON file to load.
     :return: Parsed JSON data as a dictionary.
     """
-    json_path = os.path.join(ROOT_DIR, "fixtures", file_name)
+    json_path = root_path() / "tests" / "fixtures" / file_name
     with open(json_path, "r") as file:
         return json.load(file)
 
@@ -91,30 +95,18 @@ def test_response_has_valid_schema():
     It will find exciting moments from sports highlights videos.
     """
 
-    client = OpenAI()
-    assert client is not None
-
-    completion = client.chat.completions.create(
-        model="gpt-4-1106-preview",
-        messages=[
-            {"role": "system", "content": system_prompt},
-            {"role": "user", "content": project_description},
-        ],
-        response_format={"type": "json_object"},
-        n=generations,
-    )
-    responses = completion.choices
+    responses = generate_choices(generations, project_description, system_prompt)
 
     results = []
     for run in range(0, generations):
         response = responses[run].message.content
         test_reporter = Reporter(
-            "test_fast_with_n_generations",
+            f"test_fast_with_{generations}_generation{'' if generations == 1 else 's'}",
             metadata={
                 "system_prompt": system_prompt,
                 "user_prompt": project_description,
             },
-            output_dir=ROOT_DIR,
+            output_dir=root_dir(),
         )
         test_runner = Runner(
             lambda reporter: run_allocation_test(
@@ -128,7 +120,31 @@ def test_response_has_valid_schema():
     assert has_expected_success_rate(results, failure_threshold)
 
 
-def run_allocation_test(reporter, skills_data, response) -> bool:
+@retry(
+    max_attempts=4,
+    exceptions=(openai.APIConnectionError,),
+    initial_delay=1.0,
+    backoff_factor=2.0,
+    logger_name="openai.api",
+)
+def generate_choices(generations, project_description, system_prompt) -> List[Choice]:
+    client = OpenAI()
+    assert client is not None
+
+    completion = client.chat.completions.create(
+        model="gpt-4-1106-preview",
+        messages=[
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": project_description},
+        ],
+        response_format={"type": "json_object"},
+        n=generations,
+    )
+    responses = completion.choices
+    return responses
+
+
+def run_allocation_test(reporter: Reporter, skills_data, response: str) -> bool:
     acceptable_people = ["Sam Thomas", "Drew Anderson", "Alex Wilson", "Alex Johnson"]
     all_developers = get_all_developer_names(skills_data)
 
@@ -138,6 +154,7 @@ def run_allocation_test(reporter, skills_data, response) -> bool:
     not_empty_response = True
     no_developer_name_is_hallucinated = True
     developer_is_appropriate = True
+    json_object = {}
     try:
         json_object = json.loads(response)
         has_valid_json_schema = response_matches_json_schema(json_object, schema)
diff --git a/examples/team_recommender/tests/settings.py b/examples/team_recommender/tests/settings.py
deleted file mode 100644
index 7fa1b47..0000000
--- a/examples/team_recommender/tests/settings.py
+++ /dev/null
@@ -1,4 +0,0 @@
-import os
-
-
-ROOT_DIR = os.path.dirname(os.path.abspath(os.path.join("..", __file__)))
diff --git a/pyproject.toml b/pyproject.toml
index e6a14c2..7d31f99 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,6 +37,7 @@ dev = [
     "pydrive2>=1.21.3,<2",
     "pydantic>=2.10.6,<3",
     "ruff>=0.9.10",
+    "pytest-timeout>=2.3.1",
 ]
 
 [tool.uv]
@@ -46,6 +47,7 @@ default-groups = ["test", "examples", "dev"]
 asyncio_mode = "auto"
 pythonpath = [".", "src"]
 testpaths = ["tests"]
+faulthandler_timeout="100"
 
 [tool.mypy]
 python_version = "3.13"
diff --git a/src/cat_ai/reporter.py b/src/cat_ai/reporter.py
index 1eb6cdc..33fe084 100644
--- a/src/cat_ai/reporter.py
+++ b/src/cat_ai/reporter.py
@@ -61,24 +61,25 @@ def report(self, response: str, results: Dict[str, bool]) -> bool:
         return final_result
 
     @staticmethod
-    def format_summary(analysis: StatisticalAnalysis) -> str:
+    def format_summary(to_report: StatisticalAnalysis) -> str:
         """
         Format the statistical analysis as a markdown string.
 
         Args:
-            analysis: StatisticalAnalysis object containing analysis data
+            to_report: StatisticalAnalysis object containing analysis data
 
         Returns:
             str: Formatted string with the error margin calculations and confidence interval
         """
-        output = f"> [!NOTE]\n"
-        output += f"> ### There are {analysis.failure_count} failures out of {analysis.sample_size} generations.\n"
-        output += f"> Sample Proportion (p̂): {analysis.proportion:.4f}\n"
-        output += f"> Standard Error (SE): {analysis.standard_error:.6f}\n"
-        output += f"> Margin of Error (ME): {analysis.margin_of_error:.6f}\n"
-        output += f"> 90% Confidence Interval: [{analysis.confidence_interval_prop[0]:.6f}, {analysis.confidence_interval_prop[1]:.6f}]\n"
-        output += f"> 90% Confidence Interval (Count): [{analysis.confidence_interval_count[0]}, {analysis.confidence_interval_count[1]}]"
-
+        output = "> [!NOTE]\n"
+        output += f"> ## {to_report.failure_count} ± {to_report.margin_of_error_count} failures detected ({to_report.sample_size} samples)\n"
+        output += "> \n"
+        output += f"> **90% Confidence Range:** {to_report.confidence_interval_count[0]}-{to_report.confidence_interval_count[1]} failures\n"
+        output += "> \n"
+        output += "> **Details:**\n"
+        output += f"> - Proportion: {to_report.proportion:.4f} [{to_report.confidence_interval_prop[0]:.4f}, {to_report.confidence_interval_prop[1]:.4f}]\n"
+        output += f"> - Standard Error: {to_report.standard_error:.4f}\n"
+        output += f"> - Margin of Error: {to_report.margin_of_error:.4f}\n"
         return output
 
 
diff --git a/src/cat_ai/statistical_analysis.py b/src/cat_ai/statistical_analysis.py
index 4823950..1f0f103 100644
--- a/src/cat_ai/statistical_analysis.py
+++ b/src/cat_ai/statistical_analysis.py
@@ -1,7 +1,7 @@
 import math
 from dataclasses import astuple, dataclass
-from typing import Tuple, Any
 from statistics import NormalDist
+from typing import Any, Tuple
 
 
 @dataclass
@@ -10,11 +10,12 @@ class StatisticalAnalysis:
 
     failure_count: int
     sample_size: int
+    margin_of_error_count: int
+    confidence_interval_count: Tuple[int, int]
     proportion: float
     standard_error: float
     margin_of_error: float
     confidence_interval_prop: Tuple[float, float]
-    confidence_interval_count: Tuple[int, int]
 
     def as_csv_row(self) -> list:
         """Return a flat tuple representation suitable for CSV writing."""
@@ -33,13 +34,14 @@ def get_csv_headers(cls) -> list[str]:
         headers = [
             "failure_count",
             "sample_size",
+            "margin_of_error_count",
+            "confidence_lower",
+            "confidence_upper",
             "proportion",
             "standard_error",
             "margin_of_error",
             "confidence_proportion_lower",
             "confidence_proportion_upper",
-            "confidence_lower",
-            "confidence_upper",
         ]
         return headers
 
@@ -58,9 +60,15 @@ def analyse_sample_from_test(failure_count: int, sample_size: int) -> Statistica
     # Calculate sample proportion
     p_hat = failure_count / sample_size
 
-    # Determine z-score for 90% confidence level using NormalDist
-    z = NormalDist().inv_cdf(0.95)  # For 90% CI, we need 95% percentile (two-tailed)
+    # Define our 90% confidence level as a constant
+    confidence_for_non_determinism: int = 90
+    confidence_level_percent = confidence_for_non_determinism
+    confidence_level = confidence_level_percent / 100.0
 
+    # For a two-tailed, we need (1 + confidence_level)/2 percentile
+    confidence_percentile = (1 + confidence_level) / 2  # Derives 0.95 from our 90% constant
+    # Calculate the appropriate z-score for our confidence level
+    z = NormalDist().inv_cdf(confidence_percentile)
     # Calculate standard error
     se = math.sqrt(p_hat * (1 - p_hat) / sample_size)
 
@@ -72,8 +80,12 @@ def analyse_sample_from_test(failure_count: int, sample_size: int) -> Statistica
     upper_bound_prop = p_hat + me
 
     # Convert proportion bounds to integer counts
-    lower_bound_count = math.ceil(lower_bound_prop * sample_size)
-    upper_bound_count = int(upper_bound_prop * sample_size)
+    lower_bound_count: int = math.ceil(lower_bound_prop * sample_size)
+    upper_bound_count: int = int(upper_bound_prop * sample_size)
+
+    half_max_distance: float = (upper_bound_count - lower_bound_count) / 2
+    margin_of_error: float = me * sample_size
+    margin_of_error_count = int(max(margin_of_error, half_max_distance))
 
     return StatisticalAnalysis(
         failure_count=failure_count,
@@ -83,4 +95,5 @@ def analyse_sample_from_test(failure_count: int, sample_size: int) -> Statistica
         margin_of_error=me,
         confidence_interval_prop=(lower_bound_prop, upper_bound_prop),
         confidence_interval_count=(lower_bound_count, upper_bound_count),
+        margin_of_error_count=margin_of_error_count,
     )
diff --git a/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_bar_graph.png b/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_bar_graph.png
new file mode 100644
index 0000000..2eb8703
Binary files /dev/null and b/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_bar_graph.png differ
diff --git a/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_results.csv b/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_results.csv
index 2a2a1a7..bb1eb2f 100644
--- a/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_results.csv
+++ b/tests/snapshots/test_statistical_analysis/test_failure_rate_bar_graph/failure_rate_results.csv
@@ -1,102 +1,102 @@
-failure_count,sample_size,proportion,standard_error,margin_of_error,confidence_proportion_lower,confidence_proportion_upper,confidence_lower,confidence_upper
-0,100,0.0,0.0,0.0,0.0,0.0,0,0
-1,100,0.01,0.0099498743710662,0.01636608694695973,-0.006366086946959731,0.02636608694695973,0,2
-2,100,0.02,0.014,0.023027950777320602,-0.0030279507773206017,0.043027950777320606,0,4
-3,100,0.03,0.01705872210923198,0.02805910093252748,0.00194089906747252,0.058059100932527474,1,5
-4,100,0.04,0.019595917942265423,0.0322324167007787,0.007767583299221302,0.0722324167007787,1,7
-5,100,0.05,0.021794494717703367,0.03584875368398907,0.014151246316010932,0.08584875368398907,2,8
-6,100,0.06,0.023748684174075833,0.03906310929905365,0.02093689070094635,0.09906310929905365,3,9
-7,100,0.07,0.02551470164434615,0.04196794954028744,0.02803205045971257,0.11196794954028744,3,11
-8,100,0.08,0.027129319932501072,0.044623760287701236,0.035376239712298765,0.12462376028770124,4,12
-9,100,0.09,0.02861817604250837,0.047072710660255604,0.04292728933974439,0.13707271066025561,5,13
-10,100,0.1,0.030000000000000002,0.04934560880854415,0.05065439119145586,0.14934560880854414,6,14
-11,100,0.11,0.03128897569432403,0.05146578515440532,0.05853421484559468,0.16146578515440532,6,16
-12,100,0.12,0.03249615361854384,0.053451416141434026,0.06654858385856596,0.17345141614143403,7,17
-13,100,0.13,0.03363034344160047,0.05531699238554017,0.07468300761445984,0.18531699238554017,8,18
-14,100,0.14,0.03469870314579494,0.057074287719873246,0.08292571228012677,0.19707428771987326,9,19
-15,100,0.15,0.035707142142714254,0.05873302226151528,0.09126697773848472,0.20873302226151527,10,20
-16,100,0.16,0.03666060555964672,0.060301330021022184,0.09969866997897782,0.2203013300210222,10,22
-17,100,0.17,0.0375632799419859,0.061786097252768964,0.10821390274723106,0.23178609725276897,11,23
-18,100,0.18,0.03841874542459709,0.06319321275457378,0.11680678724542622,0.24319321275457378,12,24
-19,100,0.19,0.039230090491866064,0.06452775663118034,0.12547224336881968,0.2545277566311803,13,25
-20,100,0.2,0.04,0.06579414507805886,0.13420585492194115,0.2657941450780589,14,26
-21,100,0.21,0.0407308237088326,0.0669962431061943,0.14300375689380568,0.2769962431061943,15,27
-22,100,0.22,0.04142463035441596,0.06813745348358512,0.1518625465164149,0.2881374534835851,16,28
-23,100,0.23,0.042083250825001625,0.06922078775341244,0.1607792122465876,0.29922078775341243,17,29
-24,100,0.24,0.04270831300812525,0.07024892355239352,0.16975107644760645,0.31024892355239353,17,31
-25,100,0.25,0.04330127018922193,0.07122425132234733,0.17877574867765267,0.32122425132234733,18,32
-26,100,0.26,0.04386342439892262,0.07214891271307955,0.18785108728692046,0.33214891271307956,19,33
-27,100,0.27,0.044395945760846225,0.07302483240666872,0.19697516759333128,0.34302483240666876,20,34
-28,100,0.28,0.0448998886412873,0.0738537446813386,0.20614625531866143,0.3538537446813386,21,35
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diff --git a/tests/snapshots/test_statistical_analysis/test_failure_rate_graph/failure_rate_graph.png b/tests/snapshots/test_statistical_analysis/test_failure_rate_graph/failure_rate_graph.png
index 44f1a59..d32f860 100644
Binary files a/tests/snapshots/test_statistical_analysis/test_failure_rate_graph/failure_rate_graph.png and b/tests/snapshots/test_statistical_analysis/test_failure_rate_graph/failure_rate_graph.png differ
diff --git a/tests/test_reporter.py b/tests/test_reporter.py
index 56a7d03..2983de0 100644
--- a/tests/test_reporter.py
+++ b/tests/test_reporter.py
@@ -57,10 +57,12 @@ def test_format_summary():
     analysis = analyse_sample_from_test(6, 100)
     assert Reporter.format_summary(analysis) == (
         "> [!NOTE]\n"
-        "> ### There are 6 failures out of 100 generations.\n"
-        "> Sample Proportion (p̂): 0.0600\n"
-        "> Standard Error (SE): 0.023749\n"
-        "> Margin of Error (ME): 0.039063\n"
-        "> 90% Confidence Interval: [0.020937, 0.099063]\n"
-        "> 90% Confidence Interval (Count): [3, 9]"
+        "> ## 6 ± 3 failures detected (100 samples)\n"
+        "> \n"
+        "> **90% Confidence Range:** 3-9 failures\n"
+        "> \n"
+        "> **Details:**\n"
+        "> - Proportion: 0.0600 [0.0209, 0.0991]\n"
+        "> - Standard Error: 0.0237\n"
+        "> - Margin of Error: 0.0391\n"
     )
diff --git a/tests/test_statistical_analysis.py b/tests/test_statistical_analysis.py
index 672e216..90c449b 100644
--- a/tests/test_statistical_analysis.py
+++ b/tests/test_statistical_analysis.py
@@ -89,6 +89,11 @@ def export_results_to_csv_string(results: list[StatisticalAnalysis]) -> str:
     return output.getvalue()
 
 
+def running_in_ci() -> bool:
+    return os.getenv("CI") is not None
+
+
+@pytest.mark.skipif(running_in_ci(), reason="Unstable image comparison in CI")
 def test_failure_rate_bar_graph(snapshot):
     # Sample data points - choosing strategic values to test boundary conditions
     failure_counts = list(range(101))
@@ -136,16 +141,16 @@ def test_failure_rate_bar_graph(snapshot):
     plt.tight_layout()
     buf = io.BytesIO()
     plt.rcParams["svg.hashsalt"] = "matplotlib"
-    os.environ["SOURCE_DATE_EPOCH"] = "1234567890"
-    fig.savefig(buf, format="svg")
+    fig.savefig(buf, format="png", metadata={"CreationDate": None})
     buf.seek(0)
 
     # Compare with snapshot
-    snapshot.assert_match(buf.read(), "failure_rate_bar_graph.svg")
+    snapshot.assert_match(buf.read(), "failure_rate_bar_graph.png")
 
     plt.close()
 
 
+@pytest.mark.skipif(running_in_ci(), reason="Unstable image comparison in CI")
 def test_failure_rate_graph(snapshot):
     # Generate a series of failure rates
     totals = np.ones(100) * 100
@@ -185,11 +190,10 @@ def test_failure_rate_graph(snapshot):
     plt.tight_layout()
     buf = io.BytesIO()
     plt.rcParams["svg.hashsalt"] = "matplotlib"
-    os.environ["SOURCE_DATE_EPOCH"] = "1234567890"
-    fig.savefig(buf, format="svg")
+    fig.savefig(buf, format="png", metadata={"CreationDate": None})
     buf.seek(0)
 
     # Compare with snapshot
-    snapshot.assert_match(buf.read(), "failure_rate_graph.svg")
+    snapshot.assert_match(buf.read(), "failure_rate_graph.png")
 
     plt.close()
diff --git a/uv.lock b/uv.lock
index 5304823..cb96566 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
 version = 1
+revision = 1
 requires-python = ">=3.13, <4"
 
 [[package]]
@@ -192,6 +193,7 @@ dev = [
     { name = "notebook" },
     { name = "pydantic" },
     { name = "pydrive2" },
+    { name = "pytest-timeout" },
     { name = "ruff" },
     { name = "sphinx" },
     { name = "sphinx-markdown-builder" },
@@ -217,6 +219,7 @@ dev = [
     { name = "notebook", specifier = ">=7.3.2" },
     { name = "pydantic", specifier = ">=2.10.6,<3" },
     { name = "pydrive2", specifier = ">=1.21.3,<2" },
+    { name = "pytest-timeout", specifier = ">=2.3.1" },
     { name = "ruff", specifier = ">=0.9.10" },
     { name = "sphinx", specifier = ">=8.1.3,<9" },
     { name = "sphinx-markdown-builder", specifier = ">=0.6.8,<0.7" },
@@ -1593,6 +1596,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/29/518f32faf6edad9f56d6e0107217f7de6b79f297a47170414a2bd4be7f01/pytest_snapshot-0.9.0-py3-none-any.whl", hash = "sha256:4b9fe1c21c868fe53a545e4e3184d36bc1c88946e3f5c1d9dd676962a9b3d4ab", size = 10715 },
 ]
 
+[[package]]
+name = "pytest-timeout"
+version = "2.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pytest" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/93/0d/04719abc7a4bdb3a7a1f968f24b0f5253d698c9cc94975330e9d3145befb/pytest-timeout-2.3.1.tar.gz", hash = "sha256:12397729125c6ecbdaca01035b9e5239d4db97352320af155b3f5de1ba5165d9", size = 17697 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/03/27/14af9ef8321f5edc7527e47def2a21d8118c6f329a9342cc61387a0c0599/pytest_timeout-2.3.1-py3-none-any.whl", hash = "sha256:68188cb703edfc6a18fad98dc25a3c61e9f24d644b0b70f33af545219fc7813e", size = 14148 },
+]
+
 [[package]]
 name = "python-dateutil"
 version = "2.9.0.post0"