Look at the picture and please provide full explanation answer 10. When appropriate, refer to the StatCrunch analysisyou believe is correct in this problem. Ramp metering isa traffic engineering idea that requires cars entering afreeway to stop for a certain period of time before joiningthe traffic flow. The theory is that ramp metering controlsthe number of cars accessing the freeway, resulting in a freerflow of cars, which ultimately results in faster travel times.To test whether ramp metering is effective in increasingtravelling speeds, engineers in Minneapolis, Minnesota,conducted an experiment in which a section of freeway hadramp meters installed on the on-ramps. A random sample of15 cars on the highway for a Monday at 6 P.M. with theramp meters on and a second random sample of 15 cars on adifferent Monday at 6 P.M. with the meters off had theirspeeds measured. Is there evidence of a significantimprovement with the ramp metering in place? Use a 10%significance level.Analysis #1: Hypothesis test results: dependent samples, paired t-testDifference Sample Diff. Std. Err. DF T-Stat P-valueOn-Off6.933.921.770.049Analysis #2: Hypothesis test results: independent samples, t-testDifference Sample Diff Std. Err. DF T-Stat P-valueOn-Off6.923.571.940.032

One of the small sample tests is the t-test. It is used to find the significant difference between…

10. When appropriate, refer to the StatCrunch analysis you believe is correct in this problem. Ramp metering is a traffic engineering idea that requires cars entering a freeway to stop for a certain period of time before joining the traffic flow. The theory is that ramp metering controls the number of cars accessing the freeway, resulting in a freer flow of cars, which ultimately results in faster travel times

10. When appropriate, refer to the StatCrunch analysis you believe is correct in this problem. Ramp metering is a traffic engineering idea that requires cars entering a freeway to stop for a certain period of time before joining the traffic flow. The theory is that ramp metering controls the number of cars accessing the freeway, resulting in a freer flow of cars, which ultimately results in faster travel times

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 3BGP

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Cholesterol Cholesterol in human blood is necessary, but too much can lead to health problems. There are three main types of cholesterol: HDL (high-density lipoproteins), LDL (low-density lipoproteins), and VLDL (very low-density lipoproteins). HDL is considered “good” cholesterol; LDL and VLDL are considered “bad” cholesterol. A standard fasting cholesterol blood test measures total cholesterol, HDL cholesterol, and triglycerides. These numbers are used to estimate LDL and VLDL, which are difficult to measure directly. Your doctor recommends that your combined LDL/VLDL cholesterol level be less than 130 milligrams per deciliter, your HDL cholesterol level be at least 60 milligrams per deciliter, and your total cholesterol level be no more than 200 milligrams per deciliter. (a) Write a system of linear inequalities for the recommended cholesterol levels. Let x represent the HDL cholesterol level, and let y represent the combined LDL VLDL cholesterol level. (b) Graph the system of inequalities from part (a). Label any vertices of the solution region. (c) Is the following set of cholesterol levels within the recommendations? Explain. LDL/VLDL: 120 milligrams per deciliter HDL: 90 milligrams per deciliter Total: 210 milligrams per deciliter (d) Give an example of cholesterol levels in which the LDL/VLDL cholesterol level is too high but the HDL cholesterol level is acceptable. (e) Another recommendation is that the ratio of total cholesterol to HDL cholesterol be less than 4 (that is, less than 4 to 1). Identify a point in the solution region from part (b) that meets this recommendation, and explain why it meets the recommendation.
Does Table 1 represent a linear function? If so, finda linear equation that models the data.
You may need to use the appropriate appendix table or technology to answer this question. Advertisers contract with internet service providers and search engines to place ads on websites. They pay a fee based on the number of potential customers who click on their ad. Unforțunately, click fraud-the practice of someone clicking on an ad solely for the purpose of driving up advertising revenue–has become a problem. Businessweek reports that 4C percent of advertisers claim they have been a victim of click fraud. Suppose a simple random sample of 390 advertisers will be taken to learn more about how they are affected by this practice. (Round your answers to four decimal places.) (a) What is the probability that the sample proportion will be within ±0.04 of the population proportion experiencing click fraud? (b) What is the probability that the sample proportion will be greater than 0.45?
Several states have argued that the 65-mph speed limit has no justification and have refused to enforce it. The federal Department of Transportation (DOT) believes that the 65-mph limit saves lives. To illustrate its contention, the department regressed the number of traffic fatalities (Y) last year in a state on the state’s population (X1), the number of days of snow cover (X2), and the average speed of all cars (X3). The results are shown below. With all else being equal, how many lives would be saved in a state if the average speed were reduced from 75 to 65 mph? Does reducing the average speed of cars have a statistically significant impact? Explain.
Several states have argued that the 65-mph speed limit has no justification and have refused to enforce it. The federal Department of Transportation (DOT) believes that the 65-mph limit saves lives. To illustrate its contention, the department regressed the number of traffic fatalities (Y) last year in a state on the state’s population (X1), the number of days of snow cover (X2), and the average speed of all cars (X3). The results are shown below. Table 10: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .821 a .780 .613 3.258 a. Predictors: (Constant), population, days of snow, average speed Table 11: Coefficients Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1.4 2.957 .473 .584 Population .00029 .00003 .0034 9.667 .000 Days of Snow 2.4 .62 .759 3.871 .000 Average Speed 10.3 1.1…
Several states have argued that the 65-mph speed limit has no justification and have refused to enforce it. The federal Department of Transportation (DOT) believes that the 65-mph limit saves lives. To illustrate its contention, the department regressed the number of traffic fatalities (Y) last year in a state on the state’s population (X1), the number of days of snow cover (X2), and the average speed of all cars (X3). The results are shown below. From the results shown above, write the regression equation. What proportion of variation in the number of traffic fatalities can be explained by the regression model?
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You are interested in studying the relationship between dietary fat intake and pubertal onset. a. Define Cofounder b. Identify at least 3 potential variables that may confound the primary relationship of interest.
Another measure of central tendency for a set of data is called the midrange. The midrange is defined as the value that is halfway between the minimum data value and the maximum data value. That is, Midrange = minimum value + maximum value 2 . The midrange is often stated as the average of a set of data in situations in which there are a large amount of data and the data are constantly changing. Many weather reports state the average daily temperature of a city as the midrange of the temperatures achieved during that day. For instance, if the minimum daily temperature of a city was 60° and the maximum daily temperature was 90°, then the midrange of the temperatures is 60° + 90° 2 = 75°. During a two-minute period, the temperature in a town increased from a low of −4°F to a high of 45°F. Find the mid-range of the temperatures during this two-minute period.
Another measure of central tendency for a set of data is called the midrange. The midrange is defined as the value that is halfway between the minimum data value and the maximum data value. That is, Midrange = minimum value + maximum value 2 . The midrange is often stated as the average of a set of data in situations in which there are a large amount of data and the data are constantly changing. Many weather reports state the average daily temperature of a city as the midrange of the temperatures achieved during that day. For instance, if the minimum daily temperature of a city was 60° and the maximum daily temperature was 90°, then the midrange of the temperatures is 60° + 90° 2 = 75°. Find the midrange of the following daily temperatures,which were recorded at three-hour intervals. (Round your answer to one decimal place.) 50°, 76°, 61°, 69°, 55°, 80°, 72°, 58°, 53° °
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Social media is popular around the world. Statista provides estimate of the number of social media users in various countries in 2017 as well as the projections for 2022. Assume that the results for surveys in the United Kingdom, China, Russia, and the United States are as follows.