Statistical research students in LIU have completed the midterm exam. Tow midterm samplesfrom Nabatieh and Beirut campuses were analyzed as the following:Central TendencyDispersionMeanModeMedianLowHighRangeSDBeirut807780405515Nabatich60556214681.Find the lowest score in Nabatieh campus and the highest score in Beirut campus.2. Which campus did generally better on the exam? Justify3. Which group was the most heterogenous on the test? Justify4. Suppose that only 10 students in Nabatich campus had taken the midterm. Whichof the following could be an example of their test scores? Justify by finding theirmedian.97,96,94,90,80,82,68,66,64,62b. 78,75,78,80,79,81.86,85,88,80

Name: Statistical research students in LIU have completed the midterm exam.
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Description: Statistical research students in LIU have completed the midterm exam. Tow midterm samplesfrom Nabatieh and Beirut campuses were analyzed as the following:Central TendencyDispersionMeanModeMedianLowHighRangeSDBeirut807780405515Nabatich60556214681.Fin

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Statistical research students in LIU have completed the midterm exam. Tow midterm samples from Nabatieh and Beirut campuses were analyzed as the following: Central Tendency Dispersion Mean Mode Median High Low Range SD 80 77 Beirut 80 40 55 15 Nabatich 60 55 62 14 2 68 1. Find the lowest score in Nabatieh campus and the highest score in Beirut campus.

Statistical research students in LIU have completed the midterm exam. Tow midterm samples from Nabatieh and Beirut campuses were analyzed as the following: Central Tendency Dispersion Mean Mode Median High Low Range SD 80 77 Beirut 80 40 55 15 Nabatich 60 55 62 14 2 68 1. Find the lowest score in Nabatieh campus and the highest score in Beirut campus.

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 systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals. Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean x1 15 158.42 158.72 158.42 3.127 0.807388 x2 15 65.95 66.45 65.95 1.091 0.281695 x3 15 187.23 186.63 187.23 4.171 1.076948 Variable Minimum Maximum Q1 Q3 x1 124 174 135.828 166.400 x2 41 80 47.088 77.579 x3 124 244 142.885 223.525 Correlations (Pearson) x1 x2 x2 0.829 x3 0.860 0.661 Regression Analysis The regression equation is x1 = 0.837 + 1.120x2 + 0.928x3 Predictor Coef StDev T P…
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Investigation 3.2: Valence Differences Between R&B and Rap Genres (Paired)A music fan claims that R&B songs tend to have a more positive tone on average than do Rapsongs. The individual collected two independent random samples from the population of SpotifySongs. Fifteen R&B songs and another fifteen Rap songs were collected and their Valence wasrecorded. The music fan believed that pairing the song by their Danceability may provideadditional information. Danceability describes how suitable a track is for dancing based on acombination of musical elements including tempo, rhythm stability, beat strength, and overallregularity. A value of 0.0 is least danceable and 1 is most danceable. Thus, the individual pairedthe R&B song with the lowest danceability with the Rap song with the lowest danceability,followed by the second and second, third and third. She continued this process until the R&Bsong with the highest danceability was paired with the Rap song with the…
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The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technologgy was also given a foot length of 10.8 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 10.8 cm, what is the single value that is the best predicted height for that person? H Click the icon to view the technology output. The single value that is the best predicted height is cm. Technology Output (Round to the nearest whole number as needed.) The regression equation is Height - 67.5 +5.15 Foot Length Predictor Coef SE Coef Constant 67.52 11.07 6.10 0.000 Foot Length 5.1508 0.4817 10.69 0.000 S-5.50271 R-Sq = 73.18 R-Sq (adj) = 72.44 Predicted Values for New Observations New Obs Fit SE Fit 95 CI 954 PI 123.149 1.605 (119.732, 126.566) (111.996, 134.302) Values of Predictors for New…
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Given two sets of data X and Y, what does a Spearman's Correlation coefficient of 1 indicate about the relationship between X and Y?