In R Studio - The Sign Test can be used for small sample sizes. See if your
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In R Studio - The Sign Test can be used for small sample sizes. See if your Kaggle files have a file where the data in a vector can be compared to another vector that is categorical - like gender, or a binary yes or no, high or low column. Then use the categorical column in doing a t-test on the numeric column. Copy your results into a Word document and describe your results. If your data set does not have such a column then you can find another Kaggle dataset.
Gender | Height (cm) | Weight (kg) | Index |
Male | 174 | 96 | 4 |
Male | 189 | 87 | 2 |
Female | 185 | 110 | 4 |
Female | 195 | 104 | 3 |
Male | 149 | 61 | 3 |
Male | 189 | 104 | 3 |
Male | 147 | 92 | 5 |
Male | 154 | 111 | 5 |
Male | 174 | 90 | 3 |
Female | 169 | 103 | 4 |
Male | 195 | 81 | 2 |
Female | 159 | 80 | 4 |
Female | 192 | 101 | 3 |
Male | 155 | 51 | 2 |
Male | 191 | 79 | 2 |
Female | 153 | 107 | 5 |
Female | 157 | 110 | 5 |
Male | 140 | 129 | 5 |
Male | 144 | 145 | 5 |
Male | 172 | 139 | 5 |
Male | 157 | 110 | 5 |
Female | 153 | 149 | 5 |
Female | 169 | 97 | 4 |
Male | 185 | 139 | 5 |
Female | 172 | 67 | 2 |
Female | 151 | 64 | 3 |
Male | 190 | 95 | 3 |
Male | 187 | 62 | 1 |
Female | 163 | 159 | 5 |
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