Weight(kg) Height(m)2 Statistical analysis were modeled by scatter diagram. Three diagrams were plotted to show relationship between BMI (in kg/m2) and body fat ratio, WHR and body fat ratio, skin-fold thickness and body fat ratio. Through comparing the coefficient of determination (R2), index had the strongest link would present a largest number. (3) __________________________________________________________________________________________________________________________________________ Result Figure 1 show coefficient of determination (R2) between skin-fold thickness and Body fat ratio is 0.62.Figure 2 show coefficient of determination (R2) between BMI and Body fat ratio is 0.33. Figure 3 show coefficient of determination (R2) between WHR and Body fat ratio is 0.01.
The Correlation coefficient=0.523. This correlation relies on the assumption that the variables are normally distributed, and that there is no presence of outliers. Statistics GPA final N Valid 105 105 Missing 0 0 Skewness -.053 -.334 Std. Error of Skewness .235 .235 Kurtosis -.811 -.334 Std. Error of Kurtosis .468 .468 The table shows that the in the data set, the GPA variable is a left skewed distribution of -.053 and a left kurtosis of -.811.
Step 1: Calculate the mean, median, and standard deviation for ounces in the bottles. Answer: Mean 14.87 Median 14.8 Standard Deveiation 0.55033 For the full calculation, refer to Appendix #1 at the end of the essay. Step 2: Create a 95% Confidence Interval for the ounces in the bottles. Answer: x ̅=14.87 ,s=0.5503 , n=30 , α=0.05 The level of confidence is at 95%. Use the following formula to determine the confidence interval: (x ̅-t_(α/2) (s/√n),x ̅+t_(α/2) (s/√n)) t_(α/2)=t_0.025=2.045 Substitute the values into the formula: (14.87-2.045(0.5503/√30),14.872.045(0.5503/√30)) = (14.665,15.075) The calculation above clearly states that the confidence interval at 95% confidence is approximately 14.665 - 15.075 ounces.
41.7 °C and 40.2 ° C 40-50 °C 4. 50 °C and 48 ° C 50-60 °C Average temperatures: (37.8+36.3)/2=37.05 °C (41.7+40.2)/2=40.95 °C (50+48)/2=49 °C Table 1 -The values of experiment Temperature (°C) Density (kg/m3) 26.5 995 37.05 992.5 40.95 991 49 990 70 984.856 80 982.524 90 980.272 100 977.93 Table 2. The values in steam table Temperature (°C) Density (kg/m3) 26.5 997 37.05 993 40.95
To determine the percent difference we used the formula Abs[((Value 1 - Value 2) / average of 1 & 2) * 100], substituted the values (Abs[((320.5 - 315.8) / ((320.5 + 315.8) / 2)) * 100]) and solved to get (1.58%). For the second station we had to determine the distance required to balance the system and the percent difference. To find the unknown distance we set up the equation Fleft*dleft = Fright*dright. We then plugged in the values (11.35 N * x cm = 48cm *
Optimal threshold scheme article of contraction and contraction function is determined by the criteria, namely increased SNR and PSNR values, minimum variance, MSE values and correlation coefficient is nearly equal to one. From Table 2, it is observed that the subband decomposition (II) with soft threshold (ii)
Molarity was found by Molarity of stock solution=(0.200g/L)/(182.18g/mol)=0.00011M Molarity of Standard 1=(〖(M〗_1 V_1))/V_2 (0.0011M*10mL)/100mL=0.00011M The second standard was 0.00022M with an absorbance of 0.517. The third standard was 0.00033M with an absorbance of 0.547. The fourth standard was 0.00044M with an absorbance of 0.561. The fifth standard was 0.00055M with an absorbance of 0.578. This data gave the following calibration curve: To obtain the concentration of caffeine in the soda sample, the absorbance measured was plugged in as y to
For tests about one mean , when the population standard deviation s is known, we use s when calculating the test statistic. (for population standard deviation), , (for sample standard deviation), the equations above are called the z scores. Therefore in our case we use . Hence for bottle 19, , = 0.346. Using Moore’s table the p-value = 1, and significant level = 0.1.
The mobile phase used was a mixture of ammonium acetate buffer and acetonitrile at a ratio of 400:600. A flow rate of 1 mL/min was maintained, and the detection wavelength was 292 nm (22). The required studies were carried out to estimate the precision and accuracy of the HPLC method and were found to be within limits [percent coefficient of variation was less than 15%]. Sample preparation briefly involved 0.4 μ membrane filter through which the sample was filtered, diluted with mobile phase, and 10 μL was spiked into
The L*, a* and b* values was calculated for determination of the colour of capsicum. L* is the luminance of lightness component, which ranges from 0 to 100, and a* (from green to red) and b* (from blue to yellow) are the two chromatic components, which ranges from -120 to +120. These ‘L, a, b’ values were used to calculate the required L*,a* and b* values by using formulas given bellow. L* = Lightness/250×100 - - -