Statistical inference

measures of associations refers to the statistical strength of the relationship between the variables of interest. This can be described in numerous ways; this also depends on the analysis. This is concerned with how each variable is related to other similar variables. This association is based on the strength of the linear relationship in the degree of monotonicity. To the degree that it is based on counting various pairs in a relationship. Known as a statistical tool that investigates…

Primary outcome measure: Incidence of hospital-identified Clostridium difficile infection (HI-CDI) – identified according to the national definition of diarrhoea symptoms and a stool tests showing C. difficile toxin A, B or C – was “defined as CDI diagnosed in a patient attending any area of an acute public hospital” (Slimings et al, 2014). Time of analysis: From the 1st of January 2011 to 31st December 2012. Analyses were conducted in patient-days, which was defined as “number of days of…

Explain TABLE REGRESSION Table 4.9: Result of simple linear regression between level and ovitrap index Variable SLR Level b (95% CI) p-value -2.5 (-7.7, 2.9) 0.236 R2 = 0.421. The model not fit well: Model assumption are not met There is statistically no significant linear relationship between level and ovitrap index (p= 0.236). The increase of the multi –storey house level is not associated with the ovitrap index level. With level, the model explains 42% of variation of the ovitrap…

Studying research and statistics has been a challenging endeavor. Though I am not a mathematician, knowing how the data is collected and analyzed provides me with an increased comprehension of research studies that are completed, particularly in my field of psychology. One such study involving the fitness levels of children who struggle with ADHD is a case in point. Understanding descriptive statistics and ANOVA test scores allows me greater clarity into the results and conclusions of the study.…

When conducting a hypothesis test for the difference between two means it’s essentially called a two sample t-test. According to Dr. Mirabella (2011, p. 5-2) states that, “In each case you can conduct a t-test for independent means to determine if a significant difference exists.” Furthermore, we’re conducting this test to see if there is an overlapping or if there is clearly a difference among the GPAs for men and women. In our case we are comparing the GPAs for a sample of men and a sample…

I. Introduction: Microbes are everywhere in our environment and are present all over our bodies. Transient microbes can be passed from person to person, and this is characteristic of opportunistic pathogens (Boyce & Pittet, 2002). The germ theory states that microbes have the ability to cause diseases. The purpose of this experiment was to investigate the microbes found on my hands, learn about the importance of spreading microbes and diseases, and investigate the effectiveness of hand washing…

Nevertheless, there was statistical significance, between males and females on their patriotism scores. This could be due to the fact that males, generally, are more pleased with the election results and feel more patriotic at this time. But, it could also mean that males, in general…

3.8.2 Geary’s C Another measure of spatial autocorrelation is Geary’s C statistic which ranges from 0 to 2 where 0 signifies maximum positive spatial autocorrelation or clustering, 1 signifies no autocorrelation or randomness and 2 signifies maximum negative autocorrelation or dispersal. If the values of Geary’s C are low it indicates positive spatial autocorrelation and if the values are high it indicates negative spatial autocorrelation. The calculation is similar to Moran’s I but here the…

1. a. The data set consist of 44 female and 53 males. b. There are 21 people under the age range of 13-35, which account for 21.6% of the total 97 in the sample. c. The mean level of the hour spent in the office during week 2 is 47.47 hours, with the standard deviation of 17.06. The distribution is slightly negative skew (-0.237), although in an acceptable range suggest that slightly more samples spend more hours in office than the average. The distribution’s value for kurtosis (-1.005)…

Introduction Antibiotics were initially thought of as a superior drug that could kill many bacterial diseases. Prior to antibiotics, it was hard for anyone to fight a bacteria. However, bacteria are very changing and have begun being able to gain resistance against antibiotics due to overuse, not strong enough dosage of antibiotics, or improper use. By determining the resistance and cross-resistance, one may determine the the relative ability for bacteria to gain resistance to antibiotics. We…