This light is lost in the cladding of the receiving optical fiber. Core diameter mismatch loss is typically only a concern with multimode optical fiber. To avoid core diameter mismatch make sure to check the cores of your fiber and make sure they are the same size to the best you can. Intrinsic factors that can affect connection performance in fiber-optics come in many types. A numerical aperture (NA) mismatch occurs when the NA of one optical fiber is different from the NA of the other optical fiber.
Developed TLC plate by placing plate in chamber not contacting filter paper.7. Removed plate from chamber when solvent front was 1 to 2 cm from top of plate.8. marked solvent front with pencil line & set on paper towel to dry.9. Marked position of compounds on plate using a UV lamp10.Calculated Rf values for each spot11. determined results were unsatisfactory to how experiment was supposed to turn out.Part B1.
Such as the problem X < 5 means that any number less than 5 would be a correct solution. Linear Inequalities are when you take your equivalent inequality and put it on a graph. So you would take X < 5 and make it X = 5, graph that line and then shade your half plane. In order to know which half of the plane you need to shade you simply need to plug in one point. My suggestion is to plug in the point (0,0) because its the easiest point to plug in (no multiplication
Positive (+) 1.00 is the strongest or perfect positive relationship and indicates that variables change together, either increasing or decreasing simultaneously. Negative (–) 1.00 is the strongest or perfect negative relationship and indicates that variables change in opposite directions: as one variable increases another variable decreases. 3. Describe the direction of the relationship between the Hamstring strength index 60/s and the Shuttle run test. The relationship between Hamstring strength index 60 degree/s and the Shuttle run test is a negative relationship due to r moves away from zero in negative direction and r = −0.149, the strength of this negative relationships would be weak with r -0.5 r=-0.528**, is more significant since p =0.002< 0.01, where r = −0.498** is significant at p =0.004< 0.01.
All stones exposed to water did not loose any mass. Since Vinegar is a simulator of acid rain we can predict that Granite and Sandstone should be used. I could have gotten better data if I used a more precise scale. My scale only measured to the half of a gram so it was hard to find a change in mass. Also I could have used the same shape of stone because surface area could have been a
The R squared value of our results graph essentially equals 0, showing that there is no correlation between the two variables. This may be due to a variety of reasons: - Upstream, there is a narrower valley meaning higher wetted perimeter and more contact with the bed. This causes higher friction so velocity naturally gets reduced. - Load particle size and channel bed roughness is higher upstream, which might lead to increased friction and will slow down the water as it collides into rocks, pebbles and boulders more frequently. - The discharge upstream is also much lower due to the narrow
Practice Test 4 –Bus 2023 Directions: For each question find the answer that is the best solution provided. There is only one correct answer. 1. For a sample size of 30, changing from using the standard normal distribution to using the t distribution in a hypothesis test, a. will result in the rejection region being smaller b. will result in the rejection region being larger c. would have no effect on the rejection region d. Not enough information is given to answer this question. ANSWER: a -recall that all the t-values are larger than the z-values so it makes it more difficult to reject the null.
Surveys allow researchers to predict and describe people’s opinions, attitudes and preferences by computing a correlation coefficient and determining the strength and direction of the relationship between the two naturally occurring variables. The correlation coefficient does not reflect nonlinear relationships between variables. If a relationship between two variables is not linear, then the correlation coefficient will be of little use. Correlation study produces three possible results: a positive correlation, a negative correlation, and no correlation, also referred to as zero correlation. A visual representation of the data can be made on a scatter gram/plot and a linear relationship exists when the graph showing the relationships between the two variables results in a straight line, or something very near a straight line.
Candidates describe and explain, using 1 or 2 of the above points, the results expected from this experiment. However, these are not presented in a logical sequence. They use limited spelling, punctuation and grammar and they have made little use of specialist terms. Response not worthy of credit. indicator is red photosynthesis and respiration are balanced/equal/ at same rate/compensation point carbon dioxide absorbed equals carbon dioxide given out indicator is purple photosynthesis is greater than rate of respiration more carbon dioxide taken in than is given out
is biased, so we could make incorrect conclusions about model fit Detecting Heteroskedasticity: 1. Plot the regression residuals/errors, the “ehats,” or the squared residuals, the "ehats-squared", against the X variables (you should plot the residuals against each X variable separately to check which of the X variables might be a source of Heteroskedasticity). a. If Heteroskedasticity is not present, the variation in the ehats around (above and below) zero will be the same for all values of X. Figures 1a and 1b below are examples of residual plots when Heteroskedasticity is NOT present.