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instructor's notebooks
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confidence_interval/.OTTER_LOG

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confidence_interval/dist/autograder/confidence_interval.ipynb

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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "base",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.13"
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"version": "3.13.9"
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"otter": {
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"OK_FORMAT": true,

hypothesis_testing/hypothesis_testing_instructor.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"execution_count": 42,
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"id": "ht000001-0055",
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"metadata": {},
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"outputs": [
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"np.float64(0.9764691345103486)"
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]
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},
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"execution_count": null,
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"execution_count": 42,
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"metadata": {},
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"output_type": "execute_result"
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}

linear_regression/linear_regression_instructor.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "aa000001-0044-4000-8000-000000000044",
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"metadata": {},
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"outputs": [
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{
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"version_major": 2,
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},
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{
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"execution_count": 20,
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"id": "aa000001-0063-4000-8000-000000000063",
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"metadata": {},
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"outputs": [
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{
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{
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"execution_count": 19,
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"id": "aa000001-0075-4000-8000-000000000075",
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"metadata": {},
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"outputs": [
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{
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"data": {
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