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.20 .15 P(X) .10.2 .05. 2 3 4 5 6 78.9 9 10 X

.20 .15 P(X) .10.2 .05. 2 3 4 5 6 78.9 9 10 X

MATLAB: An Introduction with Applications
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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Directions: In problems 36-40, worth 2 points each on the Scantron, let X = average scores on Curran's 10-point extra-credit assignments. Suppose X has the "weird," but continuous, distribution shown below. If an average score is randomly selected from the population of all average scores on Curran's 10-point extra-credit assignments, find each of the following. 36) 37) 38) 39) a. 40) a. a. a. a. .201 .15. P(X) .10 0% .05. 2/5 2 3 4 What is the chance that the average score selected is 6? b. 5% What is the probability that the average score selected is between 4 and 9? 3/10 b. 2/5 c. 7/10 d. 4/5 e. None of these 0.15 5 E 7 8.9 C. 6% d. 15% e. What is the probability that the average score selected is at most 7? b. 3/5 c. 7/10 d. 4/5 42.5% 10 What is the probability that the average score selected is less than 4.5? 1/10 b. 1/8 c. 1/6 d. 1/5 e. 1/4 What is the probability that the average score selected is at least 8.5? b. 0.15625 c. 0.1625 d. 0.175 X e. None of these e. None of these
Transcribed Image Text:Directions: In problems 36-40, worth 2 points each on the Scantron, let X = average scores on Curran's 10-point extra-credit assignments. Suppose X has the "weird," but continuous, distribution shown below. If an average score is randomly selected from the population of all average scores on Curran's 10-point extra-credit assignments, find each of the following. 36) 37) 38) 39) a. 40) a. a. a. a. .201 .15. P(X) .10 0% .05. 2/5 2 3 4 What is the chance that the average score selected is 6? b. 5% What is the probability that the average score selected is between 4 and 9? 3/10 b. 2/5 c. 7/10 d. 4/5 e. None of these 0.15 5 E 7 8.9 C. 6% d. 15% e. What is the probability that the average score selected is at most 7? b. 3/5 c. 7/10 d. 4/5 42.5% 10 What is the probability that the average score selected is less than 4.5? 1/10 b. 1/8 c. 1/6 d. 1/5 e. 1/4 What is the probability that the average score selected is at least 8.5? b. 0.15625 c. 0.1625 d. 0.175 X e. None of these e. None of these
/ Formulas for Constructing Confidence Intervals 9) - E = (2)√/ p-E <p <p+E k 1) One proportion Z-interval: p = = n 2) One sample t-interval: 3) One sample variance interval: E = (**) (%) proportion (p) is known: n ≥ 6) Linear Correlation t-Test: t = x-E<μ<x+E Formulas for Determining Sample Size 4) For estimating a population mean (μ): 5) Estimating a population proportion (p) when a preliminary estimate of the population pâ (z*)² 0.25(z*)² *When (p) is not known: n ≥ E2 E2 Goodness-of-Fit S² * df <0² X R O: Observed Count E: Expected Count nz Linear Regression *You can expect to be given x, y, Sx, Sy, & r s² * df χι r S df 8) Equation of line of best fit: y = b₁x + bo where b = r Z *O E nte 7) Hypotheses ⇒ Ho: p=0 (no linear corr) versus HP#0 (significant linear corr). (2) an x² = [ (0-E)² E (df = n-2) and b = y - bx (df =C-1)
Transcribed Image Text:/ Formulas for Constructing Confidence Intervals 9) - E = (2)√/ p-E <p <p+E k 1) One proportion Z-interval: p = = n 2) One sample t-interval: 3) One sample variance interval: E = (**) (%) proportion (p) is known: n ≥ 6) Linear Correlation t-Test: t = x-E<μ<x+E Formulas for Determining Sample Size 4) For estimating a population mean (μ): 5) Estimating a population proportion (p) when a preliminary estimate of the population pâ (z*)² 0.25(z*)² *When (p) is not known: n ≥ E2 E2 Goodness-of-Fit S² * df <0² X R O: Observed Count E: Expected Count nz Linear Regression *You can expect to be given x, y, Sx, Sy, & r s² * df χι r S df 8) Equation of line of best fit: y = b₁x + bo where b = r Z *O E nte 7) Hypotheses ⇒ Ho: p=0 (no linear corr) versus HP#0 (significant linear corr). (2) an x² = [ (0-E)² E (df = n-2) and b = y - bx (df =C-1)
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