Search for Knowledge or Data Essay

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I would also define 'living alone' and carefully assess the living environment and region (economic factors, demographic variables, geographic elements amongst other factors) of the environment (both immediate and mediate, i.e. home and region) that the individual occupies.

7. Caring for a cat pet prolongs life of a person over 65 to 75 living alone in the Northwestern region of USA?.

Variables would involve 'caring' (the type and intensity of caring acts employed); 'cat' the type of pet; 'person' (assessing gender, family history, cultural factors, work situation or retirement; level of education; history of disease and related factors (such as falls, hospitalizations and so forth); economic standard of living; and person's personal history (particularly history of stressors). Further variables include 'living alone'; quality of living environment and region; social factors (immediate / extended family; community; involvement in community activities; involvement in extracurricular activities and the extent and intensity of these connections); religion (intensity of commitment and involvement); and 'number of years of longevity'.

8. Literature Review. A well-structured literature review is characterized by a coherent, logically connected flow of ideas that are related, well sourced, comprehensive, current, and unbiased reflecting both perspectives of the matter (Dellinger & Leech, 2007).

9. The null hypothesis indicates that the reverse is the case to that expected by the reseacher, in other words that the treatment has had no effect or that a default position is indicated. The importance of the null hypothesis lies in the researcher knowing that he needs to direct his investigation to one or other elements that may be impacting the situation, and that this particular variable can be ruled out, or that the variable may, indeed, have a reverse effect.

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Errors are measured according to percentages of difference (or variation) that a sampled population reflects when compared to the actual population, and 'differences' are recording according to that result. Type 1 error exists when one rejects a true null hypothesis. This is more serious than the Type 2 error that occurs when one fails to reject a false null hypothesis.

10. My null hypothesis for the hypothesis that "Caring for a cat pet prolongs life of a person over 65 to 75 living alone in the Northwestern region of USA" would be that "caring for a cat pet does not prolong the life of a person over 65 to 75 living alone in the Northwestern region of USA," or that no difference can be found between caring for cat pets and prolongation of life of individuals who live in that particular state. Here, bi-directional tails show that no significant difference can be assessed in either direction between the expansion of years between those who do / do not have pet cats and do / do not live in a certain geographical location.

11. I would accept or reject the null hypothesis once the data has been carefully assessed in a scientific manner with the pertinent statistical tests undertaken in the required manner. The sample size and effect size must also be reliably congruent to the experiment. In other words, hypotheses are accepted or rejected on the grounds of valid can carefully implemented statistical tests that show whether or not a significant difference exists between two or more studied samples......

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