diff --git a/src/stcal/ramp_fitting/src/slope_fitter.c b/src/stcal/ramp_fitting/src/slope_fitter.c
index a6e88a3d1..ab8f758cb 100644
--- a/src/stcal/ramp_fitting/src/slope_fitter.c
+++ b/src/stcal/ramp_fitting/src/slope_fitter.c
@@ -2852,12 +2852,7 @@ save_ramp_fit(
 #endif
 
     ptr = PyArray_GETPTR2(rate_prod->dq, pr->row, pr->col);
-#if REAL_IS_DOUBLE
-    float_tmp = (float) pr->rate.dq;
-    memcpy(ptr, &(float_tmp), sizeof(float_tmp));
-#else
     memcpy(ptr, &(pr->rate.dq), sizeof(pr->rate.dq));
-#endif
 
     ptr = PyArray_GETPTR2(rate_prod->var_poisson, pr->row, pr->col);
 #if REAL_IS_DOUBLE
@@ -2894,12 +2889,7 @@ save_ramp_fit(
 #endif
 
         ptr = PyArray_GETPTR3(rateint_prod->dq, integ, pr->row, pr->col);
-#if REAL_IS_DOUBLE
-        float_tmp = (float) pr->rateints[integ].dq;
-        memcpy(ptr, &(float_tmp), sizeof(float_tmp));
-#else
         memcpy(ptr, &(pr->rateints[integ].dq), sizeof(pr->rateints[integ].dq));
-#endif
 
         ptr = PyArray_GETPTR3(rateint_prod->var_poisson, integ, pr->row, pr->col);
 #if REAL_IS_DOUBLE
diff --git a/tests/test_ramp_fitting_cases.py b/tests/test_ramp_fitting_cases.py
index 9d26a2983..d4a4f0311 100644
--- a/tests/test_ramp_fitting_cases.py
+++ b/tests/test_ramp_fitting_cases.py
@@ -239,6 +239,7 @@ def test_pix_4():
     NOTE:
         There are small differences in the slope computation due to architectural
         differences of C and python.
+        Switching to doubles from floats in the C code fixed this problem.
 
 --------------------------------------------------------------------------------
 *** [2627] Segment 2, Integration 0 ***
@@ -282,7 +283,6 @@ def test_pix_4():
 """
 
 
-@pytest.mark.skip(reason="C architecture gives small differences for slope.")
 def test_pix_5():
     """
     CASE B: segment has >2 groups, not at end of ramp.
@@ -308,17 +308,12 @@ def test_pix_5():
         ramp_data, bufsize, save_opt, rnoise, gain, algo, "optimal", ncores, dqflags
     )
 
-    # XXX see the note above for the differences in C and python testing values.
     # Set truth values for PRIMARY results:
-    p_true_p = [1.076075, JUMP, 0.16134359, 0.00227273, 0.02375903]
-    # p_true_c = [1.076122522354126, JUMP, 0.16134359, 0.00227273, 0.02375903]  # To be used with C
-    p_true = p_true_p
+    p_true = [1.076075, JUMP, 0.16134359, 0.00227273, 0.02375903]
 
     # Set truth values for OPTIONAL results:
-    oslope_p = [1.2799551, 1.0144024]
-    # oslope_c = [1.2799551, 1.0144479]  # To be used with C
     o_true = [
-        oslope_p,
+        [1.2799551, 1.0144024],
         [18.312422, 9.920552],
         [0.00606061, 0.00363636],
         [0.10691562, 0.03054732],