Do people walk faster in the airport when they are departing (getting on a plane) or do they walk faster when they are arriving (getting off a plane)? A reputableresearcher measured the walking speed of random travelers in two International Airports. His findings are summarized in the table. Complete parts (a)-(c) below.EER Click the icon to view the findings.(a) Is this an observational study or a designed experiment? Why?O A. This is an observational study since the researcher influenced the dataXWalking SpeedO B. This is a designed experiment since the researcher influenced the data.O C. This is a designed experiment since the researcher did not influence the data.O D. This is an observational study since the researcher did not influence the dataDirection of TravelMean speed(feet per minute)Standard deviation(feet per minute)Sample sizeDepartureArrival251274(b) Explain why it is reasonable to use Welch's t-test4538O A. The populations are normally distributed.3535O B. The samples are random, large and independentO C. The samples are random, small and independent.PrintDoneO D. The samples are random, large and dependent.Click to select vour answer(s)

a)An observation studies is, where the researcher is not able to control the experiment. While in…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Review(42b): A researcher were conducted in the effect of outdoor activity on mood. She hypotthesized that spending time outdoor would increase mood. She recruited 10 participants for her study.She had each participant walk a 2km in the forest. Before and after the walk she had them rate their mood on a 5 point lukert scale with 1 very bad to 5 very good. The data is given below. Mode before Mode after 4 5 3 3 1 4 5 5 1 5 2 4 3 2 4 5 3…
Use the table below to answer the following questions: (a) Find the value of the linear correlation coefficient. (b) Assuming a 0.01 significance level, find the critical values. (c) Is there sufficient evidence to support the claim of a linear correlation? Explain your reasoning
How do I solve questions A-E?
#6 A biologist sets up cameras to record all the animals that come to a watering hole over a 30 day period.This is an example of what kind of statistical study? Experiment Observational Study Survey
Anyone who has been outdoors on a summer evening has probably heard crickets. Did you know that it is possible to use the cricket as a thermometer? Crickets tend to chirp more frequently as temperatures increase. This phenomenon was studied in detail by George W. Pierce, a physics professor at Harvard. In the following data, x is a random variable representing chirps per second and y is a random variable representing temperature (°F). x 19.8 15.3 20.4 18.1 16.2 15.5 14.7 17.1 y 89.4 73.2 95.3 86.1 78.8 75.2 69.7 82.0 x 15.4 16.2 15.0 17.2 16.0 17.0 14.4 y 69.4 83.3 79.6 82.6 80.6 83.5 76.3 (b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.) Σx = Σy = Σx2 = Σy2 = Σxy = r = (c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answers for x and y to two decimal places. Round your answers for a and…
Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
The researcher asks parents how much time their student spends on social media and if they struggle with depression/anxiety. Then the researcher has the children fill out a questionnare with questions about mental health. This is an example of an _____________________________ study. Experimentalor Observational
A study wants to see if a program aimed at increasing reading accuracy works for elementary school students. They have a group of 20 participants. All 20 get measured at the beginning of the study, and measured again at the completion of the reading program. This is an example of a: Within subjects study Between subjects study A correlation study A mixed design study The main difference between an ANOVA and a t-test is: Group of answer choices An ANOVA can look at more than 2, and t-test looks at only 2 means at a time An ANOVA looks at only 2 means at a time, and t-test can look at more than 2 A t-test can have nominal dependent variables An ANOVA can have a nominal dependent variable
I did questions that I already understood I just need help with question b and question C
i need this, the t statistic, and p value
The scatterplot below shows the relationship between two random variables X and Y. (a) Is the correlation a good metric for describing the relationship between X and Y for these data? Why or why not? Regardless of your answer suppose you calculated the sample correlation between X and Y and found that r = -0.15. Explain in one sentence what this means. (b) If, as noted in (a), r = -0.15 then what is the value of the correlation between 2X and 5Y? (c) Based on (b) draw your best approximation to the least squares regression line that fits the data above. Also, make a rough sketch of the corresponding residual plot.
SPSS Output? What would the APA Writeup be?

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