12 Explain why the following statement is true, or provide a counter-example: A receiver-operator characteristic curve, which plots the Type I error of a test against the Type IIerror from that same test, always slopes downward. See Figure 12.8(b) for an exampleof this kind of curve.(a) Five possible thresholdsDensitybad drugsWIKgood drugsB(b) Receiver-operator characteristic(ROC) curveType I errorT3Type II errorT₁T₂T3TATFigure 12.8. Adjusting the rejection threshold creates a tradeoff between Type I error and Type II error. (a) Five possiblethresholds. (b) Receiver-operator characteristic (ROC) curve.

First talk about the type-I , type-II and ROC curve. The error committed in rejecting the null…

Answered: 12 Explain why the following statement…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Suppose I'm using chi-square analysis to determine the relationship, if any, between a pair of categorical variables. How should I interpret the results if I get a significant chi-square statistic but see that the high value is driven essentially by only a couple of cells in the crosstab? Is there a better way to proceed to get an imnproved understanding of what's going on? Thanks.
Need help writing a null hypothesis for the bivariate relationship shown in the SPSS output.
A 2012 suvey conducted by Idea Works provided data showing the percentage of seats avail- able when customers try to redeem points or miles for free travel. For each airline listed, the column labeled 2011 Percentage shows the percentage of seats available in 2011 and the column labeled 2012 shows the correponding percentage in 2012 (The Wall street Journal, May 17, 2012). Develop a scatter diagram with 2011 Percentage as the independent variable. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? Develop the estimated regression equation. Test for a significant relationship. Use α = 0.05. Did the estimated regression equation provide a good fit?
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A researcher wanted to examine the effect of a new math study skills program on second graders. Twenty-five students took the new study skills program for six weeks and then took a standardized math exam, which is known to have a population mean score of u = 80 (this is the mean for the entire population of students who have not taken the new math study skills program). The mean and variance on the exam for the 25 students (who took the new study skills program) are reported below. The mean of the n = 25 students was M = 85 with a sample variance (s²) of 100. Test to see whether the students who took the new study skills program have significantly different test scores than the national average of μ = 80. Use a = .05, 2-tailed. Step 1. State the null and alternative hypotheses below. What type of test should be run on the data? (circle one below) a. one sample z b. one sample t c. independent samples t d. related samples t Step 2. Locate the critical region and report the critical…
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