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U.K. Mobile Phone Video Viewers
As mobile phones continue to proliferate, more and more people will watch video content on them through a mobile browser, subscription, download, or application at least once a month. In a study released in 2013, eMarketer estimated that the number of mobile phone video viewers in the United Kingdom in year t from 2011
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- mobile App Website Design. Based on a 2018 study, the average elapsed time between when a user navigates to a website on a mobile device until its main content is available was 14.6 seconds. This is more than a 20% increase from 2017. Responsiveness is certainly an important feature of any website and is perhaps even more import-ant on a mobile device. What other web design factors need to be considered for a mobile device to make it more user friendly? Among other things, navigation menu placement and amount of text entry required are important on a mobile device. The following data provide the time it took (in seconds) randomly selected students (two for each factor combination) to perform a pre specified task with the different combinations of navigation menu placement and amount of text entry required. Amount of Text Entry Required Low…BMX racing is a sprint sport where races range from around 30 to 45 seconds depending on thelength of the track. Given races are over in such a short time, the start - commonly referred to asgate starts due to everyone lining up on a gate, are critical to success in the sport. A coach with aparticular interest in data analysis coaching an elite athlete records data at a local race track for thetime it takes their athlete to reach the bottom of the starting hill.The coach has found that the hill times for their athlete follow a normal distribution with mean 2.3seconds and standard deviation 0.02 seconds. (a) What hill time distinguishes the slowest 10% of hill times? (b) What is the probability that a randomly selected hill time is less than 2.27 seconds? (c) Let X be the number of hill times that are less than 2.27 seconds from 10 separate starts. Assuming the athlete is well rested between starts, what distribution might you consider X to follow. Justify your response by…Reading is fundamental to a teenager's ability to perform well in school. Assume a researcher is interested in the ability of the number of books read over the summer to predict ACT Reading scores. Using a random sample of 10 random high school students the researchers recorded the number of books read over the summer and the students' ACT Reading scores. Books Read (X) ACT Score (Y) (X- Xmean) (Y - Ymean) (X-Xmean)(Y-Ymean) (X-Xmean)? (Y - Ymean)? 2 16 -5.4 -14.9 81 29 221 2 19 -5.4 -11.9 64 29 141 3 17 -4.4 -13.9 61 20 192 4 25 -3.4 -5.9 20 12 34 21 -3.4 -9.9 34 12 97 24 -1.4 -6.9 10 2 47 6 21 -1.4 -9.9 14 2 97 8 24 0.6 -6.9 -4 47 7 27 -0.4 -3.9 2 15 10 22 2.6 -8.9 -23 7 78 Total 52 216 259.1 113.3 969.3 МEAN 7.4 30.9 a. Identify the regression line using the number of books read to predict ACT Reading score. Use a = .05 to evaluate the quality of the prediction of the regression line. b. What is the predicted ACT Reading score when 5 books are read?
- Swordfish have a unique "heater organ" that maintains elevated eye and brain temperatures when hunting in deep, cold water. The following graph illustrates the results of a study by Fritsches et al. (2005) that measured how the ability of swordfish retinas to detect rapid motion, measured by the flicker fusion frequency, changes with eye temperature. 50 40 30- 20- 10 .. 5. 10 15 20 25 Eye temperature (°C) Whitlock&Schluter. The Analysis of Bological Dota, 3e2020 W.H.Freeman and Compsany Complete the sentences to form the correct statements about the type of the variables and the type of the graph displayed. The eye temperature is a categorical variable and the flicker fusion frequency is a numerical variable. The graph is a scatter plot. Flicker fusion frequency (hertz)A popular television show recently released a video previewing the upcoming season on his website as fans of the show discovered the video the number of views of the preview video has grown each day during the last two weeks the number of days in the release of the video and the natural log of the number of video views as shown in the scatterplot. based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and numbers of views? an exponential model is appropriate because the Residual plot does not show a clear pattern A linear model is appropriate because of scatterplot shows a strong positive linear relationship A power model is appropriate because the scatterplot of days a natural log of use is strong and linear an exponential model is appropriate because the relationship between the days in the natural log of views in linear and the residual plot does not show a clear patternThe survivorship curve indicated by the graph best represents a curve, and is common in populations of Life Stage O a. Type l, marine invertebrates O b. Type Il, fishes Oc. Type l, humans o d. Type II, birds O e. Type l, plants % Surviving
- e A researcher with the Department of Education followed a cohort of students who graduated from high school in a certain year, monitoring the progress the students made toward completing a bachelor's degree. One aspect of his research vas to determine whether students who first attended community college took longer to attain a bachelor's degree than those who immediately attended and remained at a 4-year institution. The data in the table attached below summarize the esults of his study. Complete parts a) through e) below. E Click the icon to view the sample data. OA. The samples are independent. O B. The samples can be reasonably assumed to be random. OC. The population is given to be normally distributed. OD. The sample sizes are large (both greater than or equal to 30). O E. The sample sizes are not more than 5% of the population. :) Does the evidence suggest that community college transfer students take longer to attain a bachelor's degree? Use an a= 0.10 level of significance.…the table shows the percent of households with internet access for selected years from 2009 and projected through 2015. Year Percent of households 2009 67 2010 70 2011 72.5 2012 75 2013 76.5 2014 77.2 2015 78 Use the model to predict the percent of households with internet access in 2022.cipate worth S Exercise 2.9.8. [S][Section 2.1][Goal 2.1][Goal 2.5] Counting red blood cells. On page 240 of the April 2011 issue of the Bulletin of the American Mathematical Society Misha Gromov wrote that Erythrocytes are continuously produced in the red bone marrow of large bones... at the rate ~ 2.5 million/second or~ 200 billion/day. Adult humans have 20-30 trillion erythrocytes,~ 5 million/ cubic millimeter of blood. [R54] (a) What is an erythrocyte? (b) Check that 2.5 million/second is about 200 billion/day. (c) Use the numbers in the second sentence to estimate the volume of blood in an adult human, in liters. (d) Check your answer to the previous question with a web search.
- Assuming that cars arrive at a toll, on average, every 0.5 minutes, and the toll has only one payment window, and both the time between arrivals and the time between calls follow an exponential distribution. The toll attendant takes an average of 0.3 minutes to collect. Calculate the system performance measures, ie the car arrival rate and the toll service rate.The feeding behavior of black bream (a type of fish) spawned in aquariums was studied in Brain, Behavior and Evolution (Apr. 2000). Zoologists recorded the number of aggressive strikes of two black bream feeding at the bottom of the aquarium in the 10 -minute period following the addition of food. The number of strikes and age of the fish (in days) were recorded approximately each week for nine weeks, as shown in the table below. ITT Week Number of Strikes Age of Fish (days) 1 85 120 2 63 136 3 34 150 4 39 155 58 162 6 35 169 7 57 178 8 12 184 15 190 a. Construct a scatterplot of the data, with number of strikes on the y -axis and age of the fish on the x -axis. b. Examine the scatterplot of part a. Do you detect a trend?A researcher designed a study to test whether caffeine use enhanced performance time to run a 100 meter sprint. The participants (n=30) ran a 100 meter sprint before the consumption of caffeine on day 1 and then they ran another 100 meter sprint on the following day 2 after ingesting caffeine. The average time taken to run the 100 meter sprint on day 1 was (M1) and the average to run on day 2 after caffeine was (M2). The variance for this study was calculated to be (S2). Does caffeine use improve the running time in the 100 meter sprint (e.g., lower time)? Use all of the data provided to you below and test at an alpha of 0.05. M1 = 26.53M2 = 14.69S2 = 207.75n=30 a) state null and alternate hypothesis b) what is the critical value c) what is the obtained value d) conclusion
