How data analytics is different from statistics

eucocytes are the body’s defence army within the blood tissue and make up less than 1% of the blood. They are the only true cells in the blood and are not limited to the blood stream. There are many types of white blood cells, each one has a different structure and function and are part of the immune system. (Ivy Rose, 2003-2013). [3] Platelets: Thrombocytes these are cell fragments that help in blood clotting. At the site of an injury, platelets will stick to the exposed collagen and trap other blood cells in the form of a clot and stop blood from flowing and preventing excessive blood loss. The platelets contract and pull the injury back together, the blood will clot and aid in healing. (Ivy Rose, 2003-2013).[4] Blood Tissue Function Blood is mainly for transportation of dissolved gases and of metabolic waste. It also helps to maintain the body’s temperature. It removes toxins from the body, via the kidneys in the form of urine or sweat. (Pearson, 2014). [1] Blood Vessels Structure and Function Arteries: these carry blood from the heart under high pressure. They have thick outer walls and thick layers of muscle with elastic fibres. (Pearson, 2014). [2] Veins: these work under low pressure and have thin walls and thin la

Sample Solution

How data analytics is different from statistics Data analysis and statistical analysis are used hand in hand to solve business problems, however, the data analytics tools and overall process holds key differentiators when compared to common statistical methods. Statistical analysis is used in order to gain an understanding of a larger population by analyzing the information of a sample. Data analysis is the process of inspecting, presenting and reporting data in a way that is useful to non-technical people. Analytics helps you form hypotheses, while statistics lets you test them. Analytics falls into three categories: descriptive, predictive, and prescriptive. The difference among the three is that descriptive analytics tells you what happened in the past, predictive analytics predicts what is most likely to happen in the future, and prescriptive analytics recommends actions you can take to affect those outcomes.