// Numbas version: exam_results_page_options
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She took a sample of 2000 university students and obtained the information in the following table.<em>&nbsp;</em></p>\n<table>\n<tbody>\n<tr>\n<td width=\"152\">\n<p>&nbsp;</p>\n</td>\n<td width=\"136\">\n<p>Own two mobile phones</p>\n</td>\n<td width=\"150\">\n<p>Own One Mobile Phone</p>\n</td>\n<td width=\"150\">\n<p>Do Not Own a Mobile Phone</p>\n</td>\n</tr>\n<tr>\n<td width=\"152\">\n<p>Men</p>\n</td>\n<td width=\"136\">\n<p>40</p>\n</td>\n<td width=\"150\">\n<p>600</p>\n</td>\n<td width=\"150\">\n<p>450</p>\n</td>\n</tr>\n<tr>\n<td width=\"152\">\n<p>Women</p>\n</td>\n<td width=\"136\">\n<p>20</p>\n</td>\n<td width=\"150\">\n<p>420</p>\n</td>\n<td width=\"150\">\n<p>470</p>\n</td>\n</tr>\n</tbody>\n</table>\n<p>&nbsp;At the 5% level of significance, is there a relationship between gender and the number of mobile phones owned?</p>", "advice": "", "rulesets": {}, "extensions": [], "variables": {}, "variablesTest": {"condition": "", "maxRuns": 100}, "ungrouped_variables": [], "variable_groups": [], "functions": {}, "preamble": {"js": "", "css": ""}, "parts": [{"type": "1_n_2", "useCustomName": false, "customName": "", "marks": 0, "scripts": {}, "customMarkingAlgorithm": "", "extendBaseMarkingAlgorithm": true, "unitTests": [], "showCorrectAnswer": false, "showFeedbackIcon": false, "variableReplacements": [], "variableReplacementStrategy": "originalfirst", "nextParts": [], "suggestGoingBack": false, "adaptiveMarkingPenalty": 0, "exploreObjective": null, "prompt": "<p>Which one is the correct null hypothesis?</p>", "minMarks": 0, "maxMarks": 0, "shuffleChoices": false, "displayType": "dropdownlist", "displayColumns": 0, "showCellAnswerState": false, "choices": ["<p><em>H<sub>0</sub>&nbsp;: Gender and the ownining laptops are not related</em></p>", "<em>H<sub>0</sub>&nbsp;: Gender and the ownining laptops are&nbsp; 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