We are pulmonologists (doctors who treat lungs), examining lung function in adults with cystic fibrosis. We find the following values for FEV1, a measure of airway obstruction (already sorted).343545485159606670 Q3 = (66+70)/2 = 6886Q1 = (45+47)/2 = 46113Fill in the following missing quantities using the data above. If an answer does not exist, write NALowest outlier =Lower fence =Lower whisker =Q1 = 46Median = 55Q3 = 68Upper whisker =Upper fence =median = 55Highest outlier =

The data on the values of FEV1 is given below,3435454748515960667086113The 1st quartile is Q1=462nd…

Answered: We are pulmonologists (doctors who…

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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A researcher develops a test for identifying intellectually gifted children. It has a μ=56 and σ=8. a. what percentage of children are expected to score above 60? b. What percentage of the scores will be below 54? *ANSWER BOTH PARTS A & B*
A popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (in centimeters) of randomly selected presidents along with the heights of their main opponents. Complete parts (a) and (b) below. Height (cm) of President 185 170 179 191 194 179 9 Height (cm) of Main Opponent 170 184 174 166 194 182 Identify the test statistic. t= 0.57 (Round to two decimal places as needed.) Identify the P-value P-value = 0.286 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is greater than the significance level, fail to reject the null hypothesis. There is not sufficient evidence to support the claim that presidents tend to be taller than their opponents. b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval…
For a population with ? = 100 and ? = 20, what is the X value corresponding to z = 1.50? 30115 101.5130
When determining which is significant for part a -make sure to include df, p value (greater than or less than .05), and t statistic
cmid=855541&page=28 page n F5 Pat received the following grades in four classes. In Pat's History class, what is the percentage of students scoring higher than Pat? (round to two decimal places, don't include the % sign in your answer) % Subject Psychology Math History English Answer: F6 + W F7 Pat's Grade 75 90 86 83 W & F8 Class Mean 83 85 80 88 Pa F9 F10 Class Standard Deviation 8 6 4 A X F11 * F12 Home End Insert +1 Time left 1:35:4 Next page 12:54 PM *A*G 2/17/2023 Q T495S Delete Backspace
In a study of exhaust emissions from school buses, the pollution intake by passengers was determined for a sample of nine school buses used in the Southern California Air Basin. The pollution intake is the amount of exhaust emissions, in grams per person, that would be inhaled while traveling on the bus during its usual 18-mile trip on congested freeways from South Central LA to a magnet school in West LA. Here are the amounts for the nine buses when driven with the windows open. 1.17 0.33 0.40 0.33 1.32 0.38 0.25 0.40 0.35 (a) Consider making a stemplot. Are there outliers or strong skewness that would preclude use of the t procedures? Which is correct? A. The sample is small and the stemplot is right skewed with possible outliers, so use of t procedures is not appropriate. b. The distribution is symmetric so use of t procedures is appropriate. c. The sample is small and the stemplot is left skewed with possible outliers, so use of t procedures is…
1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500
Beanie babies are toy stuffed animals that have become valuable collector’s items. Beanie World Magazine provided the age, retired status (R for Retired and C for Current), and value of 50 Beanie babies. The data Beanie can be downloaded from Blackboard. Answer the following questions using Minitab. a) Show the retired/current status of the 50 Beanie babies with pie chart and bar chart. b) What percentage of the age measurements actually fall into ¯x±s, ¯x±2s, and ¯x±3s. Compare your result with the empirical rule
e) The car dealer also believes that the age of the car is another factor affecting the price of the car. The following output displays the relationship between the price, mileage travelled and age of the car. Model Summary (Price of the car) RR Square Adjusted R Square Std. Error of the Estimate 96 .93 -91 4.33 ANOVA (Price of the car) Sum of Squares 1734-56 df Mean F Sig. Square 867.28 46.33 18.72 Regression 2 .000 Residual Total 131.04 7 1865.60 Coefficients (Price of the car) Unstandardized Coefficients B Standardized Coefficients Beta Std. Sig. Error (Constant) Mileage Age 64.04 -58 12.46 -2.17 5-14 .00 .000 27 -.80 .066 -45 96 -.17 -47 651 Determine the multiple regression equation from the above output and use it to estimate the price of a 5.5 years old car with 50000 km travelled mileage.
Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. Which statement best describes the meaning of one of the bars in the histogram? 10 2. 100 110 120 130 140 150 160 170 amount of sugar (mg) O 125 snacks have between 120 and 130 mg of sugar. 10 snacks have about 125 mg of sugar. O The largest number of snacks have 11 mg of sugar 125 snacks have 10 mg of sugar. Frequency

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