please help asap. data for the problem is provided in the picture as well. 234566789101112131415161718192021222324252627282930313233343536373839404142Customer1WN45678910111213141516171819202122232425262728293031323334353637383940BService Time2627312185997910812182165124111082919109875712649249911211897325167201458103164 2) The manager of a fast food restaurant would like to know if their median service timeis less than 45 seconds.a) What is the appropriate null and alternate hypothesis to determine if the medianservice time is less than 45 seconds?b) Choose a level of a. Use a = 0.05 for this problem.c) To test the hypothesis, the fast food restaurant random selects 40 customers andrecords their service time. The data appear in the Service Time worksheet of theChp 18 HW data workbook on Moodle. Calculate the test statistic, i.e., thenumber of plus signs.d)Sketch the sampling distribution. Include the critical value and test statistic.e) Draw a conclusion for the hypothesis test. Make sure you state your conclusionin the context of the problem.f) Calculate the p-value

Costumer Service Time 1 26 2 27 3 31 4 21 5 8 6 59 7 97 8 9 9 108 10 12 11…

Answered: 2) The manager of a fast food…

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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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.) 55°, 50°, 80°, 57°, 72°, 64°, 58°, 63°, 73°
Table 1 below shows the number of cricket chirps in 15 seconds, for several different air temperatures, in degrees Fahrenheit. From the scatterplot of the data in figure 2, it is determined that the data appears to be linearly related. The linear model below was created using technology. Use it to predict the Temperature in degrees Fahrenheit for a cricket who chirped 30 times in 15 seconds. Round your predicted temperature to the nearest tenth. __________ Is this an interpolation or an extrapolation? ________ y = 30.281 + 1.143c where c represents the number or chirps in 15 seconds
Below is a scatterplot of a student’s SAT score and their college GPA. Suppose we want to decide if a student’s SAT score and their GPA are linearly related. What does this scatterplot tell us of the relationship? Support your answer. SAT score_GPA scatterplot.pdf
Please review the attachment. Does the question require me to formulate two equations to get to the answer?
PLEASE USE THE TABLE PROVIDED TO ANSWER THE QUESTION: John Doe Films is producing the next Batman movie. With the information available for Public Opinion and money Collected on Opening Day, what is the projected amount of money that will be collected if surveys indicate a public opinion of 8.5 for the new Batman movie? Can this projected amount of money be considered an accurate amount? Construct any plot(s)/graph(s) to support your answer.
Window Below are two snapshots of data taken from the covid19.nj.gov website on January 8, 2021. What information can you take away from these graphs? Can the graphs be compared? What might be confusing or misleading about the information? What could you do to better present the information?
Flying twice as farA flight from Los Angeles to ABQ is about 2 hours but is 670.2 miles.A flight from San Jose to Chicago is 4 hours but is 1859.0 miles.Can anyone explain why the travel time from San Jose to Chicago is notlonger and closer to 5.75 hours?If the distance increase by 2, shouldnt the time increase by a factorof 2 as well?1. Write a linear model for this question. Takeoff and landing will take a fixed amount of time. Actualtravel in the air will take time proportional to the distance traveled. Think about which of thevariables (time and distance) is the independent variable, and identify the slope and intercept withtheir units.2. Use the data in the quotation to estimate the two constants in your linear model.
Write down the different Multiple Regression Equations?
Sometimes we have data that can be paired together, such as height and weight of an individual. When two variables are measured and paired together, we have what we call paired data. When we have paired data, we can plot the results using a scatterplot. This will give us a visual to determine if there is a relationship between the variables of interest. For two variable relationships, we can often report the data as ordered pairs in (x, y) format. Our x-variable in this case is known as the explanatory variable, and the y-variable is known as the response variable. We use values of x to predict y. If there appears to be a linear relationship between the two variables, we can create a least squares regression line. This is a line that “best” fits the dataset we have. The result will be a linear equation and we can use this equation to predict future values. For simple linear regression (ordered pairs with only two variables), the general form of a regression line follows:�̂=β0+β1�,…
Please solve by hand! A manufacturer of wood stoves collected data on y = particulate matter concentration and x1 = flue tem-perature for three different air intake settings (low, me-dium, and high).a. Write a model equation that includes indicator vari-ables to incorporate intake setting, and interpret each of the b coefficients. b. What additional predictors would be needed to in-corporate interaction between temperature and in-take setting?
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…

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