ACTIVITY 3: LET'S SOLVE AND INTERPRET!Identify what is asked. Show your complete solutions and interpret the results on aseparate sheet of paper.1. For the following data of heights collected from Mr. Santos' students, find the 3rd decileand 95th percentile.9087888389918792899893961001029698999810010210110210310410510610710295992. Using the grades of Grade 10 students in their 100-item test in math below, verify thatD5 = P50 = Q2 = Md90778883898177927998838680827678898890823. The scores in a Math 10 quiz are as follows:9.9.94108761218147771318a) Find the score that corresponds to 35th percentile?b) What is the percentile rank of the student who got a score of 13?c) Find the score that corresponds to the 3rd quartile.DETOUR AHEADOn a separate sheet of paper, complete each of the following statements.I learned that ...I discovered that ...I realized that ... I need help in ...

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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 following graph is an ogive of a standardized test's scores. The vertical axis in an ogive is the cumulative relative frequency and can also be interpreted as a percentile. Complete parts a through c. Find and interpret the percentile rank of a test score with a value of 130. A test score of 130 corresponds to the enter your response hereth percentile rank since this percentage of test scores are greater than or equal to greater than less than or equal to less than a test score with a value of 130.
Complete the table to the right. Grade on Business Statistics Exam Frequency Relative Frequency A: 90-100 0.08 B: 80-89 C: 65-79 69 111 D: 50-64 54 F: Below 50 42 Total 300 1.00 Grade on Business Statistics Exam Frequency Relative Frequency A: 90-100 24 0.08 B: 80-89 69
Use the same scales to construct modified boxplots for the pulse rates of males and females from the accompanying data sets. Identify any outliers. Use the boxplots to compare the two data sets. Click the icon to view the data sets. Determine the boxplot for the men's pulse rate data. Choose the correct graph below. O A. O C. xx HE 40 50 60 70 80 90 100110 O C. What points are outliers? OA. 46 O B. 46, 89, 105 OC. 46, 48, 105 O D. 105 40 50 60 70 80 90 100110 -ידי xH Determine the boxplot for the women's boxplot data. Choose the correct graph below. O A. Q 40 50 60 70 80 90 100110 xH Q 40 50 60 70 80 90 100110 Q ✔ Q ✔ C O B. O D. O B. O D. 841x 40 50 60 70 80 90 100110 X 40 50 60 70 80 90 100110 40 50 60 70 80 90 100110 XX 40 50 60 70 80 90 100110 Q Q M Q Q ✔ Pulse rates for men and women Men's Pulse Rates 59 72 72 58 84 50 58 65 66 55 105 64 65 77 70 62 Women's Pulse Rates 76 70 74 83 59 67 65 72 74 89 85 78 56 80 60 46 70 59 70 75 66 68 66 72 77 78 97 74 62 81 54 74 77 79 89 95 59 98…
A researcher surveyed 80 patients at a certain hospital. The histogram below gives the length of time patients waited to see a doctor at the hospital. The classes, in minutes, are 0 - 1.9, 2 - 3.9, etc., and the vertical axis represents the number of patients. 25 20 15 10 2 4 8. 10 wait time (minutes) (a) Use the histogram to determine the percent of patients that waited less than 6 minutes to see the doctor. (b) Determine the interval that contains the median wait time. **Include all decimal places** number of patients
the box plot represents the average temperature in seattle for each day in august. what is the interquartile range of the data
Given the following list of data, find the median. 3,18,11,36,23,5,8,15,32,22,16 Give your answer as a number only. For example, if you found the median was 20, you would enter 20.
Use this data which give the dosage levels for a particular drug and the heart rate measured 30 minutes after taking the drug. Dose (mg) Heart rate 0.125 95 0.20 90 0.25 93 0.30 92 0.35 88 0.40 80 0.50 82 Create a scatter plot. Use your Ti-84
Which is the line-of-best-fit for the data represented below? Height Weight Tim 67 160 Evan 73 210 Peter 66 167 Kevin 75 220 Carson 68 185 Will 70 180 Jamar 72 185 James 65 146 Find the equation y=mx+b without using a calculator nor excel.
Match each numerical range to the description of the data that is most likely to represent.
The number of hours per week that the television is turned on is determined for each family in a sample. The mean of the data is 30 hours and the median is 26.2 hours. Twenty-four of the families in the sample turned on the television for 15 hours or less for the week. The 11th percentile of the data is 15 hours. Step 4 of 5 : What is the value of the 50th percentile?
Use the data in the following table, which lists carbon dioxide concentrations (in parts per million) for each year from 1960 to 2009, with projected values used for the last four years. After finding the values of the mean and range for each decade, find the values of x, and R. Also find the values of LCL and UCL for an R chart, and find the values of LCL and UCL for an x chart. 1960s 318.4 319.5 321.8 322.9 324.8 325.4 326.9 328.5 330.3 331.4 1970s 333.4 334.6 335.5 337.1 339.3 340.4 341.4 343.1 344.7 346.5 1980s 348.1 348.8 351.2 352.1 353.8 355.4 356.9 358.5 359.8 360.6 1990s 361.9 363.6 365.8 366.7 368.6 369.2 371.7 372.4 373.5 375.2 2000s 377.6 378.7 379.6 381.8 382.8 384.2 386.3 387.6 388.7 390.5 x=enter your response here (Round to three decimal places as needed.) Part 2 R=enter your response here (Round to two decimal places as needed.) Compute the values of LCL and UCL for an R chart. LCL=enter your response here, UCL=enter your response here (Round to…
A doctor wanted to determine whether there is a relation between a male's age and his HDL (so-called good) cholesterol. The doctor randomly selected 17 of his patients and determined their HDL cholesterol. The data obtained by the doctor is the in the data table below. Complete questions below. LOADING... Click the icon to view the data obtained by the doctor. Age, x HDL Cholesterol, y Age, x HDL Cholesterol, y 37 57 38 46 42 52 64 63 45 33 28 55 34 54 49 37 53 35 26 46 50 40 50 38 60 42 47 56 59 38 40 30 24 46 PrintDone (a) Determine the least-squares regression equation from the sample data. y=nothingx+nothing (Round to three decimal places as needed.) (b) Assuming the residuals are normally distributed, test whether a linear relation exists between age and HDL cholesterol levels at the α=0.01 level…

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