11:15 PM Sat Jul 23< 88 QXLesson 45-47 Week 9XMATH140 - Statistical Project #2Lecture 41-44 Week 8☆.XOTHw 10X MATH140 - Statistical...(e) Assuming that the four potential outliers of 0, 0, 8, and 20 are not recording errors, repeat thehypothesis test from part (c) (again setting up the hypothesis test and using either the criticalvalue or p-value approach), and compare your results with that obtained in (c). Did you make adifferent conclusion?40%(f) Imagine you know have to make a recommendation/conclusion to the company that hired you:Assuming that the four potential outlies are not recording errors, and looking at the two resultsabove, would you recommend using the first test with the outliers or the second test with theoutliers removed? There is no right or wrong answer here, I am interested in what you think andyour reasoning. 11:14 PM Sat Jul 23< 88 a aXLesson 45-47 Week 9aCXMATH140 - Statistical Project #2Lecture 41-44 Week 8Frequencyimagine you're hired by a beef company called "American Beef Makers" as a DataAnalyst and you're tasked with determining if annual beef consumption has increased in the UnitedStates over the ten-year period from 2011 to 2021. In 2011 the annual consumption of beef per person(per capita) was 57.5 pounds per year.776520RITTo determine if the mean annual beef consumption has increased over the ten-year period from 2011 to2021, a random sample of 40 people was taken and their annual beef consumption from 2021 wasrecorded. The results are shown below, rounded to the nearest pound. Mean 58.41 101 sig 0.055754687956025-1510-50-035049515656786372(a) Obtain a histogram of the data. Does the data appear to be normally distributed?not202OX40062normally746161605637T11607677676762895675Hw 10Histogram (Frequency Diagram)Anval beef consuption23distributed.The distribution of data is negatively skewed.So data is80697375628712047(b) Obtain a boxplot of the data. Are their any outliers in the data?Outliers: 0, 0, 8, 201X MATH140 - Statistical...10040%

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(e) Assuming that the four potential outliers of 0, 0, 8, and 20 are not recording errors, repeat the hypothesis test from part (c) (again setting up the hypothesis test and using either the critical value or p-value approach), and compare your results with that obtained in (c). Did you make a different conclusion?

(e) Assuming that the four potential outliers of 0, 0, 8, and 20 are not recording errors, repeat the hypothesis test from part (c) (again setting up the hypothesis test and using either the critical value or p-value approach), and compare your results with that obtained in (c). Did you make a different conclusion?

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?