diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index cdc1acb..57e8e65 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -14,12 +14,14 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# import numpy and pandas\n",
- "\n"
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import scipy.stats as sts"
]
},
{
@@ -35,7 +37,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -53,12 +55,154 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " # | \n",
+ " Name | \n",
+ " Type 1 | \n",
+ " Type 2 | \n",
+ " Total | \n",
+ " HP | \n",
+ " Attack | \n",
+ " Defense | \n",
+ " Sp. Atk | \n",
+ " Sp. Def | \n",
+ " Speed | \n",
+ " Generation | \n",
+ " Legendary | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " Bulbasaur | \n",
+ " Grass | \n",
+ " Poison | \n",
+ " 318 | \n",
+ " 45 | \n",
+ " 49 | \n",
+ " 49 | \n",
+ " 65 | \n",
+ " 65 | \n",
+ " 45 | \n",
+ " 1 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 2 | \n",
+ " Ivysaur | \n",
+ " Grass | \n",
+ " Poison | \n",
+ " 405 | \n",
+ " 60 | \n",
+ " 62 | \n",
+ " 63 | \n",
+ " 80 | \n",
+ " 80 | \n",
+ " 60 | \n",
+ " 1 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 3 | \n",
+ " Venusaur | \n",
+ " Grass | \n",
+ " Poison | \n",
+ " 525 | \n",
+ " 80 | \n",
+ " 82 | \n",
+ " 83 | \n",
+ " 100 | \n",
+ " 100 | \n",
+ " 80 | \n",
+ " 1 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 3 | \n",
+ " VenusaurMega Venusaur | \n",
+ " Grass | \n",
+ " Poison | \n",
+ " 625 | \n",
+ " 80 | \n",
+ " 100 | \n",
+ " 123 | \n",
+ " 122 | \n",
+ " 120 | \n",
+ " 80 | \n",
+ " 1 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 4 | \n",
+ " Charmander | \n",
+ " Fire | \n",
+ " NaN | \n",
+ " 309 | \n",
+ " 39 | \n",
+ " 52 | \n",
+ " 43 | \n",
+ " 60 | \n",
+ " 50 | \n",
+ " 65 | \n",
+ " 1 | \n",
+ " False | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " # Name Type 1 Type 2 Total HP Attack Defense \\\n",
+ "0 1 Bulbasaur Grass Poison 318 45 49 49 \n",
+ "1 2 Ivysaur Grass Poison 405 60 62 63 \n",
+ "2 3 Venusaur Grass Poison 525 80 82 83 \n",
+ "3 3 VenusaurMega Venusaur Grass Poison 625 80 100 123 \n",
+ "4 4 Charmander Fire NaN 309 39 52 43 \n",
+ "\n",
+ " Sp. Atk Sp. Def Speed Generation Legendary \n",
+ "0 65 65 45 1 False \n",
+ "1 80 80 60 1 False \n",
+ "2 100 100 80 1 False \n",
+ "3 122 120 80 1 False \n",
+ "4 60 50 65 1 False "
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "pokemon.head(5)"
]
},
{
@@ -70,12 +214,26 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Legendary\n",
+ "False 735\n",
+ "True 65\n",
+ "Name: count, dtype: int64"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "pokemon.Legendary.value_counts()"
]
},
{
@@ -87,12 +245,47 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Legendary Pokemon : Mean - 637.38, Standard Deviation - 60.94\n",
+ "Non-Legendary Pokemon : Mean - 417.21, Standard Deviation - 106.76\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "legends = pokemon[pokemon['Legendary'] == True]\n",
+ "non_legends = pokemon[pokemon['Legendary'] == False]\n",
+ "\n",
+ "#Mean and Standard Deviation of Legendary Pokemons\n",
+ "print(\"Legendary Pokemon : Mean - {}, Standard Deviation - {}\".format(np.round(legends.Total.mean(),2), np.round(legends.Total.std(),2)))\n",
+ "print(\"Non-Legendary Pokemon : Mean - {}, Standard Deviation - {}\".format(np.round(non_legends.Total.mean(),2), np.round(non_legends.Total.std(),2)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis : The legendary and non-legendary pokemon has similar avg. values\n",
+ "\n",
+ "Alternate Hypothesis : The legendary and non-legendary pokemon doesn't similar avg. values\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Null Hypothesis & Alternate Hypothesis\n",
+ "print(\"Null Hypothesis : The legendary and non-legendary pokemon has similar avg. values\\n\")\n",
+ "print(\"Alternate Hypothesis : The legendary and non-legendary pokemon doesn't similar avg. values\")"
]
},
{
@@ -106,12 +299,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "T-Statistic : 25.8335743895517\n",
+ "P-Value : 9.357954335957446e-47\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "t_stat, p_value = sts.ttest_ind(legends['Total'],non_legends['Total'],equal_var=False,alternative='two-sided')\n",
+ "print(\"T-Statistic : {}\".format(t_stat))\n",
+ "print(\"P-Value : {}\".format(p_value))"
]
},
{
@@ -123,12 +327,24 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 21,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis that the two Pokemon groups have similar avg. values can be rejected with 95% confidence\n"
+ ]
+ }
+ ],
"source": [
"# Your conclusions here:\n",
- "\n"
+ "\n",
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that the two Pokemon groups have similar avg. values can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")"
]
},
{
@@ -140,12 +356,42 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Type 1\n",
+ "Water 112\n",
+ "Normal 98\n",
+ "Grass 70\n",
+ "Bug 69\n",
+ "Psychic 57\n",
+ "Fire 52\n",
+ "Rock 44\n",
+ "Electric 44\n",
+ "Ground 32\n",
+ "Ghost 32\n",
+ "Dragon 32\n",
+ "Dark 31\n",
+ "Poison 28\n",
+ "Fighting 27\n",
+ "Steel 27\n",
+ "Ice 24\n",
+ "Fairy 17\n",
+ "Flying 4\n",
+ "Name: count, dtype: int64"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "pokemon['Type 1'].value_counts()"
]
},
{
@@ -157,12 +403,27 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Water Pokemon : Mean - 430.46, Standard Deviation - 113.19\n",
+ "Non-Water Pokemon : Mean - 435.86, Standard Deviation - 121.09\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "\n",
+ "water_pk = pokemon[pokemon['Type 1'] == 'Water']\n",
+ "non_water_pk = pokemon[pokemon['Type 1'] != 'Water']\n",
+ "\n",
+ "#Mean and Standard Deviation of Legendary Pokemons\n",
+ "print(\"Water Pokemon : Mean - {}, Standard Deviation - {}\".format(np.round(water_pk.Total.mean(),2), np.round(water_pk.Total.std(),2)))\n",
+ "print(\"Non-Water Pokemon : Mean - {}, Standard Deviation - {}\".format(np.round(non_water_pk.Total.mean(),2), np.round(non_water_pk.Total.std(),2)))"
]
},
{
@@ -174,12 +435,30 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis : The water and non-water pokemon has similar avg. values\n",
+ "Alternate Hypothesis : The water and non-water pokemon doesn't similar avg. values\n",
+ "\n",
+ "T-Statistic : -0.4418547448849676\n",
+ "P-Value : 0.6587140317488793\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "# Null Hypothesis & Alternate Hypothesis\n",
+ "print(\"Null Hypothesis : The water and non-water pokemon has similar avg. values\")\n",
+ "print(\"Alternate Hypothesis : The water and non-water pokemon doesn't similar avg. values\\n\")\n",
+ "\n",
+ "t_stat, p_value = sts.ttest_ind(water_pk['Total'],non_water_pk['Total'],equal_var=True,alternative='two-sided')\n",
+ "print(\"T-Statistic : {}\".format(t_stat))\n",
+ "print(\"P-Value : {}\".format(p_value))"
]
},
{
@@ -191,12 +470,24 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis cannot be rejected\n"
+ ]
+ }
+ ],
"source": [
"# Your conclusions here:\n",
- "\n"
+ "\n",
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that the two Pokemon groups have similar avg. values can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")"
]
},
{
@@ -210,12 +501,29 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis : The attack and defense scores of all pokemon are equal\n",
+ "Alternate Hypothesis : The attack and defense scores of all pokemon are not equal\n",
+ "\n",
+ "T-Statistic : 4.325566393330478\n",
+ "P-Value : 1.7140303479358558e-05\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "print(\"Null Hypothesis : The attack and defense scores of all pokemon are equal\")\n",
+ "print(\"Alternate Hypothesis : The attack and defense scores of all pokemon are not equal\\n\")\n",
+ "\n",
+ "t_stat, p_value = sts.ttest_rel(pokemon['Attack'],pokemon['Defense'],alternative='two-sided')\n",
+ "print(\"T-Statistic : {}\".format(t_stat))\n",
+ "print(\"P-Value : {}\".format(p_value))"
]
},
{
@@ -227,12 +535,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 39,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis that attack and defense scores of all pokemon are equal can be rejected with 95% confidence\n"
+ ]
+ }
+ ],
"source": [
"# Your conclusions here:\n",
- "\n"
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that attack and defense scores of all pokemon are equal can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")"
]
},
{
@@ -244,12 +563,29 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 42,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis : The special attack and special defense scores of all pokemon are equal\n",
+ "Alternate Hypothesis : The special attack and special defense scores of all pokemon are not equal\n",
+ "\n",
+ "T-Statistic : 0.853986188453353\n",
+ "P-Value : 0.3933685997548122\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "print(\"Null Hypothesis : The special attack and special defense scores of all pokemon are equal\")\n",
+ "print(\"Alternate Hypothesis : The special attack and special defense scores of all pokemon are not equal\\n\")\n",
+ "\n",
+ "t_stat, p_value = sts.ttest_rel(pokemon['Sp. Atk'],pokemon['Sp. Def'],alternative='two-sided')\n",
+ "print(\"T-Statistic : {}\".format(t_stat))\n",
+ "print(\"P-Value : {}\".format(p_value))"
]
},
{
@@ -261,12 +597,23 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 45,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis cannot be rejected\n"
+ ]
+ }
+ ],
"source": [
"# Your conclusions here:\n",
- "\n"
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that special attack and special defense scores of all pokemon are equal can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")\n"
]
},
{
@@ -280,12 +627,35 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 48,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis : The attack and defense scores of all pokemon are equal\n",
+ "Alternate Hypothesis : The attack and defense scores of all pokemon are not equal\n",
+ "\n",
+ "T-Statistic : 4.325566393330478\n",
+ "P-Value : 1.7140303479358558e-05\n",
+ "Null Hypothesis that attack and defense scores of all pokemon are equal can be rejected with 95% confidence\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- " \n",
+ "print(\"Null Hypothesis : The attack and defense scores of all pokemon are equal\")\n",
+ "print(\"Alternate Hypothesis : The attack and defense scores of all pokemon are not equal\\n\")\n",
+ "\n",
+ "t_stat, p_value = sts.ttest_1samp(pokemon['Attack']-pokemon['Defense'],popmean=0)\n",
+ "print(\"T-Statistic : {}\".format(t_stat))\n",
+ "print(\"P-Value : {}\".format(p_value)) \n",
+ "\n",
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that attack and defense scores of all pokemon are equal can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")\n",
" "
]
},
@@ -302,12 +672,139 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 69,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | Type 1 | \n",
+ " Bug | \n",
+ " Dark | \n",
+ " Dragon | \n",
+ " Electric | \n",
+ " Fairy | \n",
+ " Fighting | \n",
+ " Fire | \n",
+ " Flying | \n",
+ " Ghost | \n",
+ " Grass | \n",
+ " Ground | \n",
+ " Ice | \n",
+ " Normal | \n",
+ " Poison | \n",
+ " Psychic | \n",
+ " Rock | \n",
+ " Steel | \n",
+ " Water | \n",
+ "
\n",
+ " \n",
+ " | Legendary | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | False | \n",
+ " 69 | \n",
+ " 29 | \n",
+ " 20 | \n",
+ " 40 | \n",
+ " 16 | \n",
+ " 27 | \n",
+ " 47 | \n",
+ " 2 | \n",
+ " 30 | \n",
+ " 67 | \n",
+ " 28 | \n",
+ " 22 | \n",
+ " 96 | \n",
+ " 28 | \n",
+ " 43 | \n",
+ " 40 | \n",
+ " 23 | \n",
+ " 108 | \n",
+ "
\n",
+ " \n",
+ " | True | \n",
+ " 0 | \n",
+ " 2 | \n",
+ " 12 | \n",
+ " 4 | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " 5 | \n",
+ " 2 | \n",
+ " 2 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " 2 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 14 | \n",
+ " 4 | \n",
+ " 4 | \n",
+ " 4 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ "Type 1 Bug Dark Dragon Electric Fairy Fighting Fire Flying Ghost \\\n",
+ "Legendary \n",
+ "False 69 29 20 40 16 27 47 2 30 \n",
+ "True 0 2 12 4 1 0 5 2 2 \n",
+ "\n",
+ "Type 1 Grass Ground Ice Normal Poison Psychic Rock Steel Water \n",
+ "Legendary \n",
+ "False 67 28 22 96 28 43 40 23 108 \n",
+ "True 3 4 2 2 0 14 4 4 4 "
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "pk_cross_tab = pd.crosstab(pokemon['Legendary'],pokemon['Type 1'])\n",
+ "pk_cross_tab"
]
},
{
@@ -319,12 +816,21 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
+ "execution_count": 72,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "P-Value : 5.118547414721704e-12\n"
+ ]
+ }
+ ],
"source": [
"# Your code here:\n",
- "\n"
+ "_, p_value,_,_ = sts.chi2_contingency(pk_cross_tab)\n",
+ "print(\"P-Value : {}\".format(p_value))"
]
},
{
@@ -336,12 +842,82 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 75,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis that there is no relationship between Legendary and Type 1 variables in Pokemon dataset can be rejected with 95% confidence\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Your answer here:\n",
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that there is no relationship between Legendary and Type 1 variables in Pokemon dataset can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Changing the distribution to binary mode\n",
+ "pokemon['Type 1 Mod'] = np.where(pokemon['Type 1'] != 'Water', 'Other', pokemon['Type 1'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
"metadata": {},
"outputs": [],
+ "source": [
+ "pk_cross_tab_mod = pd.crosstab(pokemon['Legendary'],pokemon['Type 1 Mod'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "P-Value : 0.08625467249550949\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Your code here:\n",
+ "_, p_value,_,_ = sts.chi2_contingency(pk_cross_tab_mod)\n",
+ "print(\"P-Value : {}\".format(p_value))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 83,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Null Hypothesis cannot be rejected\n"
+ ]
+ }
+ ],
"source": [
"# Your answer here:\n",
- "\n"
+ "if p_value < 0.05:\n",
+ " print(\"Null Hypothesis that there is no relationship between Legendary and Type 1 variables in Pokemon dataset can be rejected with 95% confidence\")\n",
+ "else:\n",
+ " print(\"Null Hypothesis cannot be rejected\")"
]
},
{
@@ -354,7 +930,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -368,9 +944,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.9"
+ "version": "3.12.4"
}
},
"nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
}