[amp_mcq option1=”Exploratory” option2=”Inferential” option3=”Causal” option4=”None of the mentioned” correct=”option1″]<\/p>\n
The correct answer is: A. Exploratory<\/strong><\/p>\n An exploratory graph is a type of graph that is used to explore data and to identify patterns. Exploratory graphs are typically used in the early stages of data analysis, when the goal is to gain a better understanding of the data.<\/p>\n The graph in the question is an example of an exploratory graph. The graph shows the relationship between two variables, height and weight. The graph can be used to identify patterns in the data, such as the fact that taller people tend to weigh more.<\/p>\n Inferential graphs are used to make inferences about a population based on a sample. Inferential graphs are typically used in the later stages of data analysis, when the goal is to make conclusions about the population.<\/p>\n Causal graphs are used to show the relationships between variables and to identify causes and effects. Causal graphs are typically used in the social sciences and in medicine.<\/p>\n The graph in the question is not an inferential graph or a causal graph. The graph is an exploratory graph, which is used to explore data and to identify patterns.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”Exploratory” option2=”Inferential” option3=”Causal” option4=”None of the mentioned” correct=”option1″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[738],"tags":[],"class_list":["post-44645","post","type-post","status-publish","format-standard","hentry","category-data-science-miscellaneous","no-featured-image-padding"],"yoast_head":"\n