diff --git a/test/test_helpers.py b/test/test_helpers.py
index 742082e57e4e7374b2d35fab43a66376a90c0442..dfd0dffea0f50502bfdf7cf00af9f4a8c8d1b6c6 100644
--- a/test/test_helpers.py
+++ b/test/test_helpers.py
@@ -19,7 +19,7 @@ class TestToList:
 class TestCheckPath:
 
     def test_check_path_and_create(self, caplog):
-        caplog.set_level(logging.INFO)
+        caplog.set_level(logging.DEBUG)
         path = 'data/test'
         assert not os.path.exists('data/test')
         check_path_and_create(path)
@@ -152,7 +152,7 @@ class TestPrepareHost:
     @mock.patch("os.path.exists", return_value=True)
     def test_prepare_host(self, mock_host, mock_user, mock_path):
         path = prepare_host()
-        assert path == "/home/testUser/machinelearningtools"
+        assert path == "/home/testUser/machinelearningtools/data/toar_daily/"
         path = prepare_host()
         assert path == "/home/testUser/Data/toar_daily/"
         path = prepare_host()
@@ -178,8 +178,8 @@ class TestSetExperimentName:
 
     def test_set_experiment(self):
         exp_name, exp_path = set_experiment_name()
-        assert exp_name == ""
-        assert exp_path == os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ""))
+        assert exp_name == "TestExperiment"
+        assert exp_path == os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "TestExperiment"))
         exp_name, exp_path = set_experiment_name(experiment_date="2019-11-14", experiment_path="./test2")
         assert exp_name == "2019-11-14_network/"
         assert exp_path == os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "test2"))
diff --git a/test/test_statistics.py b/test/test_statistics.py
index d31f4e9919da27e679019b892d98557dee9a7f1d..fa7de6022f0957031f90fbf951679594583eccab 100644
--- a/test/test_statistics.py
+++ b/test/test_statistics.py
@@ -7,9 +7,9 @@ from src.statistics import standardise, standardise_inverse, centre, centre_inve
 
 @pytest.fixture(scope='module')
 def input_data():
-    return np.array([np.random.normal(2, 2, 2000),
-                     np.random.normal(-5, 3, 2000),
-                     np.random.normal(10, 1, 2000)]).T
+    return np.array([np.random.normal(2, 2, 3000),
+                     np.random.normal(-5, 3, 3000),
+                     np.random.normal(10, 1, 3000)]).T
 
 
 @pytest.fixture(scope='module')