Frequency data is useless without a timeframe.<\/p>\n
a. True<\/p>\n
b. False<\/p>\n
Answer: a. True<\/strong><\/p>\n Filling out the data for the chart becomes a “meaningless” thing without the timeframe or “time stamp”. Frequency connotes how many times or how frequently the featured event or phenomenon occurs with the inclusion of time either explicit or implicit barring this, the data becomes useless and it lacks the context. Consequently, if you are presented with a frequency of 100 but without any context of the time period (e.g., per hour, per day, per year), you will have no idea of what it actually means to this thing. Timeframes accomplish this goal due to the significance of drawing the necessary context and rate\/pace of events, which helps to establish proper comparisons, trend analysis, and the decision-making process. A clear timeframe is devoid because pattern frequency information cannot be properly analysed and employed since it is unclear how it can be applied to the real world.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" Frequency data is useless without a timeframe. a. True b. False Answer: a. True Filling out the data for the chart becomes a “meaningless” thing […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"yoast_head":"\n