diff --git a/data/maxlikeli/Econ381totpts.txt b/data/maxlikeli/Econ381totpts.txt
index 1becba2..13efba1 100644
--- a/data/maxlikeli/Econ381totpts.txt
+++ b/data/maxlikeli/Econ381totpts.txt
@@ -1 +1,161 @@
-404: Not Found
\ No newline at end of file
+275.5
+351.5
+346.25
+228.25
+108.25
+380.75
+346.25
+360.75
+196
+414.75
+370.5
+371.75
+143.75
+333.5
+397.5
+405.75
+154.75
+321
+279
+326.5
+49.5
+402.75
+389.75
+382.25
+337.75
+311
+105.5
+380.5
+236
+326.5
+343.75
+328.75
+316.25
+348.25
+338.75
+375.75
+410
+17
+414.25
+21.25
+369.625
+318.875
+336.125
+429.875
+407.5
+415.75
+332.375
+397
+375.875
+419.125
+270.125
+299.25
+384.125
+335
+408.5
+414.25
+253.5
+339.25
+338.75
+355.375
+326.375
+240.375
+385
+435
+317.25
+365.625
+372.75
+365.125
+349.625
+366.75
+386.5
+391.75
+403
+258.5
+386
+411
+350.25
+402.25
+294.625
+291.125
+378.125
+442.0
+428.1
+347.3
+431.8
+430.4
+426.0
+433.5
+331.1
+405.7
+415.5
+406.4
+418.6
+400.7
+408.8
+404.8
+409.4
+410.8
+402.5
+401.0
+415.3
+390.8
+394.6
+399.0
+380.0
+397.5
+368.7
+394.7
+304.3
+391.1
+388.4
+370.3
+384.6
+383.5
+305.6
+286.5
+367.9
+329.8
+288.2
+338.5
+333.6
+268.6
+335.2
+296.3
+269.1
+243.2
+159.4
+448.4
+449.8
+435.9
+429.4
+428.3
+427.5
+422.5
+409.8
+415.8
+413.4
+416.8
+406.7
+383.9
+389.0
+387.2
+368.6
+399.5
+382.6
+355.9
+389.9
+342.5
+365.2
+320.3
+341.5
+248.1
+305.0
+279.2
+275.7
+204.5
+235.0
+102.2
+112.3
+130.6
+60.2
\ No newline at end of file
diff --git a/docs/book/struct_est/MaxLikelihood.md b/docs/book/struct_est/MaxLikelihood.md
index fc6df6a..039a0c5 100644
--- a/docs/book/struct_est/MaxLikelihood.md
+++ b/docs/book/struct_est/MaxLikelihood.md
@@ -117,8 +117,8 @@ import requests
 # Download and save the data file Econ381totpts.txt
 url = ('https://raw.githubusercontent.com/OpenSourceEcon/CompMethods/' +
        'main/data/maxlikeli/Econ381totpts.txt')
-data_file = requests.get(url, allow_redirects=True)
-open('../../../data/maxlikeli/Econ381totpts.txt', 'wb').write(data_file.content)
+# data_file = requests.get(url, allow_redirects=True)
+# open('../../../data/maxlikeli/Econ381totpts.txt', 'wb').write(data_file.content)
 
 # Load the data as a NumPy array
 data = np.loadtxt('../../../data/maxlikeli/Econ381totpts.txt')
@@ -132,9 +132,9 @@ Let's create a histogram of the data.
 import matplotlib.pyplot as plt
 
 num_bins = 30
-count, bins, ignored = plt.hist(pts, num_bins, density=True,
+count, bins, ignored = plt.hist(data, num_bins, density=True,
                                 edgecolor='k')
-plt.title('Econ 381 scores: 2011-2012', fontsize=20)
+plt.title('Intermediate macro scores: 2011-2012', fontsize=15)
 plt.xlabel(r'Total points')
 plt.ylabel(r'Percent of scores')
 plt.xlim([0, 550])  # This gives the xmin and xmax to be plotted"