An article by a researcher reported on a long-term study of the effects of hurricanes on tropical streams in forests. The study shows that one particular hurricane had asignificant impact on stream water chemistry. The following table shows a sample of 10 ammonia fluxes in the first year after the hurricane. Data are in kilograms perhectare per year. Complete parts (a) through (e) below.168 75 152 118 178 170 173 73 145 104CSa. Obtain and interpret the quartiles.Q₁ =Q₂ =Q3(Type integers or decimals.)Interpret the quartiles. Choose the correct answer below.O A. The quartiles suggest that 25% of the samples contain less than 104 units, 25% contain between 104 and 148.5 units, 25% contain between 148.5 and170 units, and 25% contain greater than 170 units.Time Remaining: 01:33:47NextStatcrunch27 of 30 Questions Left this cycle70°F SunnyAfere to searchO

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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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The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant negative linear correlation between ticket price and number of attendees. Use a significance level of 0.05 and round all values to 4 decimal places. Ticket Price Attendence 6 175 10 148 14 117 18 164 22 108 26 136 30 89 34 92 38 115 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Reject Ho Do Not Reject Ho Accept Ho The conclusion is There is a significant negative linear correlation between ticket price and attendance. There is insufficient evidence to make a conclusion about the linear correlation between ticket price and attendance. There is a significant positive linear correlation between ticket price and attendance. There is a…
1. The ordered data below shows the lengths (in kilometers) of rivers on the South Island of New Zealand that flow to the Pacific Ocean. 64 48 56 64 64 72 80 90 95 97 121 138 145 161 169 209 209 288 322 (a) Find the five-number summary and the inner quartile range (IQR). (b) Draw a box plot for the data.
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 77 28 47 31 74 32 65 32 26 20 79 36 52 29 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
5 and 6. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Based on Hershey's® claim for 368 total net grams of chocolate in the bag, approximately how many Kisses® too many or too few are there? Assume that the Kisses® were weighed with the wrapper, each wrapper weighs 0.12 grams, and the net grams listed on the bag are for the chocolate only. Give some possible…
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is significant linear correlation between advertising cost and profit . Use a significance level of 0.10 and round all values to 4 decimal places. Advertising Cost Profit 3 23 4 23 5 22 6 26 7 25 8 25 9 25 10 30 11 31 12 31 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value =
You may need to use the appropriate technology to answer this question. The better-selling candies are often high in calories. Assume that the following data show the calorie content from samples of M&M's, Kit Kat, and Milky Way candies. M&M's Kit Kat Milky Way 250 245 200 210 205 208 220 235 202 240 215 190 250 230 180 Test for significant differences among the calorie content of these three candies. State the null and alternative hypotheses. H0: All populations of calories are identical.Ha: Not all populations of calories are identical.H0: Not all populations of calories are identical.Ha: All populations of calories are identical. H0: MedianMM ≠ MedianKK ≠ MedianMWHa: MedianMM = MedianKK = MedianMWH0: MedianMM = MedianKK = MedianMWHa: MedianMM > MedianKK > MedianMWH0: MedianMM = MedianKK = MedianMWHa: MedianMM ≠ MedianKK ≠ MedianMW Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer…
A 1982 paper by Hans Rosendal and Samuel Shaw established a correlation between the maximum sustained surface wind speeds to the minimum sea level pressure in central north pacific cyclones. Use the following data below to test this result. Minimum Sea Level Pressure (in millibars) (x) Surface Wind Speed (in knots) (y) 968 89 1022 42 1012 72 931 130 984 73 992 97 942 121 974 77 1008 93 939 126 956 115 1014 86 Calculate the correlation coefficient. Round to three decimals Find the equation of the regression line. Round each value to two decimals Preview New data has just arrived indicating that the minimum sea level pressure for a storm is 955 millibars. Predict the maximum sustained wind speed in knots. Round your answer to the nearest integer
The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper. X 390 740 760 y 3.90 r 3.90 5.00 5.30 4.10 3.60 6.20 OH₂: P = 0 Ha: P 0 1,465 1,470 1,495 2,190 t = P-value = 6.98 7.45 4.85 7.70 4.55 6.70 8.80 OH₂: P = 0 H₂: P = 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) State the conclusion in the problem context. O Fail to reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. Reject Ho. A positive correlation exists between maximum lactate level and muscular endurance. O Fail to reject Ho. A positive correlation does not exist between maximum lactate level and muscular endurance. O Reject Ho. A…
Chrome File Edit View History Bookmarks People Tab Window Help Midterm Exam -> A cos.instructure.com/courses/20952/assignments/2... Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. 10 40 50 60 70 80 90 100 110 amount of sugar (mg) What is the sample size for this data set? n = > Next Question Frequency ...
Please answer parts 1 and 2 of the following question (not the histogram part 1, but the part where you calulate the proportion of days...) Thank you
You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…
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