1. Prove algebraically that for any sets X and Y, we have Y – (Y – X) = X nY.
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- Atlantic hurricanes form off the western coast of Africa. As warm moist air rises, it begins to rotate around a low- pressure system. This rotation is sustained by warm ocean temperatures and a central low pressure. Once a sustained wind speed of 74 miles per hour is reached, the storm is considered a hurricane. As man-made climate change continues to increase the temperature of the Earth's oceans, it is expected that the strength of hurricanes will Typically, a lower central pressure within a hurricane's eye is associated with a higher wind speed. Here, statistical software (R/RStudio) will be used to explore this relationship by applying linear regression methods. Using a database of landfalling hurricanes in the United States, a linear regression will be used to correlate the central pressure of each hurricane to its maximum sustained wind speed. increase. Regression Plot y=942.196-0.884*x R^2=0.768 ----- ----------- -. •... •. 980 1000 940 960 900 920 Independent Variable (x)…Determine whether the data described below is a quantitative of qualitative variable and explain why. The height of subjects in an experiment when testing a chemical. The data are qualitative because they consist of counts or measurements. The data are quantitative because they don't count nor measure anything. The data are qualitative because they don't count nor measure anything. The data are quantitative because they consist of counts or measurements.EDEMET attends to the electrical energy, in a wooded area of Chiriquí and therefore prone to blackouts. One month of June there were 15 electrical blackouts. Their durations (in hours) are: 2.5 2.0 1.5 3.0 1.0 1.5 2.0 1.5 1.0 1.0 4.0 4.5 3.0 1.5 2.5 a. Define the variable and the type of family it belongs to b. Find the mean, median, mode, variance, standard deviation, and coefficient of variation. How do you rate the reliability of the data? Get asymmetry. c. The data is highly dispersed, concentrated, or normal. kurtosis d. Get the 40th percentile and interpret
- You are the Provost of a University and you want to see if students would like to participate in classroom-based physical activity. You implemented a quick pilot test and collected data after Spring quarter. Below is the first set of data. Based on the data, answer the question. Age (1-18-24 Participant Height (inches) Weight (pounds) Sex (1= male, 2 = female) Ever participated in classroom exercise (1= No, 2 = Yes) years, 2=25-34 years, 3 35-49 years, 4 50 years or older) 1 66 150 1 1 1 2 72 150 2 2 4 3 66 150 2 1 2 4 74 215 1 2 1 5 66 112 2 2 6 71 215 2 2 7 69 175 2 2 3 8 66 152 2 1 9 72 375 1 10 66 140 1 2 What type of variable is sex and age? dichotomous, ordinal dichotomous, nominal O nominal, discrete nominal, dichotomousAccounting please Only reply if you are going to help with full question. A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded Female Driver Male Driver 1.3 -0.2 1.3 0.5 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use Hmales Hremales Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest…Point for this question will be added manunally. Q. Results for the initial stage of testing for an infectious disease are shown below. In the second stage of testing to differentiate true positives from false positives, what is the prevalence of disease? Status Test Positive Test Negative 0.,10 0.90 0.47 0.99 0.89 Disease Present 900 100 Disease Absent 1,000 8,000
- You are the Provost of a University and you want to see if students would like to participate in classroom-based physical activity. You implemented a quick pilot test and collected data after Spring quarter. Below is the first set of data. Based on the data, answer the question. Participant Height (inches) Weight (pounds) Sex (1= male, 2= female) Ever Age (1 = 18-24 participated years, 2 25-34 in classroom exercise (1 = years, 3 35-49 years, 4 50 years No, 2 = Yes) or older) 66 150 1 1 2 72 150 2 2 4 66 150 2 1 2 4 74 215 1 2 1 5 66 112 2 2 6 71 215 2 2 7 69 175 2 2 3 8 66 152 1 2 9 72 375 1 1 10 66 140 1 2 3 What type of variables are height and sex? continuous, dichotomous discrete, ordinal discrete, dichotomous O discrete, nominalIdentify the explanatory variable and the response variable. A teacher wants to determine if the type of textbook used by her students can be used to predict the students' test scores. The explanatory variable is the The response variable is the teacher type of textbook students' test scoresTeacher of a class wants to study the reasons for students' absence. What is needed for her to study? a. Organize the data and analyze it b. Collect the data on the students' absence c. Investigate the reasons and draw conclusion d. All the above
- The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? OA. The variable "weekly time spent watching television" is likely normally distributed. OB. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. OC. The variable "weekly time spent watching television" is likely uniform, not normally distributed. O D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O E. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. (b) According to a certain survey, adults spend 2.25 hours per day watching television on a weekday. Assume that the standard deviation for…In complete sentences, explain what a hypothesis test tells us and what an ettect size tells us. Describe in general terms. Be sure that your response CONTRASTS the two, i.e., explains how they are different but are both part of understanding relationships between variables. You're welcome to use examples to explain your points. Imagine you are explaining this to a friend.