Assignment 1 BSTA

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School

Concordia University *

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450

Subject

Statistics

Date

Feb 20, 2024

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docx

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Uploaded by MagistrateInternetSquirrel15

Task 1 Quiz Feedback: Introduction to Statistics Your score: Congratulations! Your score indicates that you have mastered the topics in this lesson. You can review the feedback and when you're finished, exit the lesson. 100% 1. For an asymmetric (or skewed) distribution, which of the following statistics is a good measure for the middle of the data? a. mean b. median c. either mean or median Your answer: b Correct answer: b Quiz Feedback: Analysis of Variance (ANOVA) Your score: Congratulations! Your score indicates that you have mastered the topics in this 100% lesson. You can review the feedback and when you're finished, exit the lesson. 1. Given this SAS output, is there sufficient evidence to reject the assumption of equal variances? Levene's Test for Homogeneity of Weight Variance ANOVA of Squared Deviations from Group Means Source DF Sum of Mean FValue | Pr>F Squares Square Brand 1 9.237E-7 9.237E-7 112 | 0.2942 Error 78 0.000065 8.283E-7 | Print |

Quiz Feedback: Regression Your score: Congratulations! Your score indicates that you have mastered the topics in this lesson. 100% You can review the feedback and when you're finished, exit the lesson. 1. Based on this correlation matrix, what type of relationship do Performance and RunTime have? Pearson Correlation Coefficients, N = 31 Prob > |r| under HO: Rho=0 Performance RunTime Age 1.00000 -0.82049 -0.71257 Perf errormance <0001 <.0001 _ -0.82049 1.00000 0.19523 RunTime <.0001 0.2926 071257 0.19523 1.00000 Age <.0001 0.2926 Task 2 Summary Statistics Results The MEANS Procedure Analysis Variable : HWYMPG Mean Std Dev Range Lower Quartile Median Upper Quartile 28.1496599 6.5337414 55.0000000 25.0000000 28.0000000 31.0000000 Generated by SAS (‘Local’, X64_11HOME) on February 09, 2024 at 05:33:29 PM

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Percent 60 50 40 30 2 10 Capability analysis of: HNYMPG 15 27 27 33 39 45 51 57 HWYMPG Cure: Normal(Mu=28.15 Sigma=6.5337) Generated bv SAS (Local. X64 11HOME) on Februarv 09. 2024 at 05:39:52 PM 63 69

Capability analysis of: HNYMPG The CAPABILITY Procedure Fitted Normal Distribution for HWYMPG. Parameters for Normal Distribution Parameter | Symbol | Estimate Mean Mu 2814966 Std Dev gma | 6533741 Goodness-of-Fit Tests for Normal Distribution Test Statistic DF p Value Kolmogorov-Smimov | D 0.1336988 Pr>D <0010 Cramer.von Mises | W-Sq | 0.5886831 Pr>W.Sq | <0005 AndersonDarling | A-Sq | 34302804 Pr>ASq | <0005 Chi-Square Chi-Sq| 272092864 | 7 Pr>Chi-Sq <0.001 Quantiles for Normal Distribution Quantile Percent | Observed | Estimated 10 150000 129499 50 17.0000 17.4026 100 210000 197763 250 250000 237427 500 280000 28.1497 750 310000 325566 900 330000 365230 950 380000 38.8967 990 510000 433494 Generated by SAS (Loca, X64_11HOME) on February 09, 2024 at 05:39:52 PM

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