Statistical hypothesis testing

model. Instead, “belavg” displays a negative relationship with the hourly wage, which indicates that it is less physically attractive individuals that are experiencing a monetary disadvantage as a result of their appearance. Two other variables of statistical significance are “exper”, indicating a positive relationship between the amount of experience an individual has and his or her hourly wage, and “educ”, which too indicates a positive relationship, but between the amount of education an…

Deviation |Std. Error Mean | |Pair 1 | | |N |Correlation |Sig. | |Pair 1 |Before & After |20 |.193 |.415 | |Paired Samples Test | | |Paired Differences…

Chi- Square Goodness of Fit Testing Assuming Equal Expected A handful of students loves numbers and selects a major in Finance, Statistics, or Marketing. While others prefer a major in Leadership or are undecided. Historically, the MBA program at Whatsamatta U has about 40% of their students electing Leadership as their major, 30% selecting Finance as a major, 20% choosing Marketing, and 10% are undecided. Conducting a Chi-Square Goodness of the Fit Test revealed that the class of 200 students…

No one will argue that determining the number of significant figures and keeping with the rules of those “sigfigs” throughout an already strenuous calculation can be a pain. Countless points and half-points have been deducted from tests throughout chemistry’s ages from students claiming that significant figures are, ironically, insignificant. But, let’s consider the following scenario. Joey is in his inorganic chemistry lab. The second step to the lab tells him to measure out the mass of Iron he…

5 shows that the difference of transmittance of orange light through translucent red cups or no cups is due to chance because the p-value of their t-test is over 0.05. No matter what, this information refutes the hypothesis. Even though they are not consistent, only two out of five pieces support the above statement. However, data from another group does not correspond with above findings. D Band’s histogram shows how in their experiments, red light had the higher…

A fever is not an illness, but rather an indication of an underlying problem or cause within the body. It is characterized by an elevated core temperature measuring above 100°F (37.8°C).1 This increase in temperature is controlled by the hypothalamus, which raises the thermoregulatory set point in order to defend the body.1 Fevers are a great concern in infants, with more children having reported fevers compared to adults.1 Acetaminophen is both a prescription and an over-the-counter medication…

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…

Where\\ \textit{A} denotes attenuation of the incident light,\\ \textit{$\alpha $} denotes the wavelength of the incident light,\\ \textit{C} denotes the concentration of the absorber,\\ \textit{d} denotes the geometrical pathlength,\\ \textit{B} denotes the pathlength correction factor and\\ \textit{G} is the additive term for scattering losses \begin{minipage}{\columnwidth} \centering \includegraphics [width=0.75\textwidth] {figures/mbl.png} \captionof{figure}{The modified Beer-Lambert law…

includes ID 5, 7 and 9 of all four tables), leaving the results of 14 volunteers. These data were considered to be outliers and were removed to prevent the central tendency from being effected and the results being deemed unreliable. The appropriate statistical analysis was then carried out on the percentage increase columns for alpha amplitude, alpha frequency, beta amplitude and beta frequency of the 14…

Discussion The T-test from the class supported our hypothesis by showing that Sulfuric Acid diffused significantly faster than phenol red at both temperatures (Fig 1). We can say that our hypothesis for experiment one is supported under certain conditions. The rest of the data in our charts supports our hypothesis as well. However it is not well supported. The rest of the test results were inconsistent with the null hypothesis. The error bars from the class data show a possible cause of…