Intro Stats
4th Edition
ISBN: 9780321825278
Author: Richard D. De Veaux, Paul F. Velleman, David E. Bock
Publisher: PEARSON
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Chapter 17, Problem 10E
a.
To determine
Explain the consequences of the error.
b.
To determine
Explain the consequences of the error.
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Chapter 17 Solutions
Intro Stats
Ch. 17.2 - A research team wants to know if aspirin helps to...Ch. 17.2 - An allergy drug has been tested and found to give...Ch. 17.2 - The new drug is tested and the P-value is 0.0001....Ch. 17.4 - Prob. 4JCCh. 17.4 - Prob. 5JCCh. 17.4 - Prob. 6JCCh. 17 - Prob. 1ECh. 17 - Prob. 2ECh. 17 - Prob. 3ECh. 17 - Prob. 4E
Ch. 17 - SECTION 15.3 7. Hispanic origin According to the...Ch. 17 - Empty houses According to the 2010 Census, 11.4%...Ch. 17 - Prob. 7ECh. 17 - Prob. 8ECh. 17 - Prob. 9ECh. 17 - Prob. 10ECh. 17 - CHAPTER EXERCISES 15. Hypotheses Write the null...Ch. 17 - More hypotheses Write the null and alternative...Ch. 17 - Negatives After the political ad campaign...Ch. 17 - Dice The seller of a loaded die claims that it...Ch. 17 - Prob. 15ECh. 17 - Cars A survey investigating whether the proportion...Ch. 17 - Prob. 17ECh. 17 - Prob. 18ECh. 17 - Prob. 19ECh. 17 - Prob. 20ECh. 17 - Dowsing In a rural area, only about 30% of the...Ch. 17 - Abnormalities In the 1980s, it was generally...Ch. 17 - Prob. 23ECh. 17 - Educated mothers The National Center for Education...Ch. 17 - 25. Contributions, please, part II In Exercise 23...Ch. 17 - 26. Take the offer, part II In Exercise 24 of...Ch. 17 - 27. Law school 2007 According to the Law School...Ch. 17 - Prob. 28ECh. 17 - Prob. 29ECh. 17 - Scratch and dent An appliance manufacturer...Ch. 17 - Prob. 31ECh. 17 - Prob. 32ECh. 17 - WebZine A magazine is considering the launch of an...Ch. 17 - Seeds A garden center wants to store leftover...Ch. 17 - Prob. 35ECh. 17 - Prob. 36ECh. 17 - Prob. 37ECh. 17 - Acid rain A study of the effects of acid rain on...Ch. 17 - Prob. 39ECh. 17 - TV ads A start-up company is about to market a new...Ch. 17 - Prob. 41ECh. 17 - Prob. 42E
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- A classification study involving several classifiers was carried out. After training and the usual validation step, the following table shows results for classifiers tried. In below, classifiers are identified as M1, M2 and so on. Sensitivity Specificity M1 0.82 0.82 M2 0.92 0.72 M3 0.72 0.92 M4 0.46 0.47 M5 0.03 0.16 M6 0.13 0.02 M7 0.33 0.64 M8 0.72 0.24 M9 0.47 0.82 M10 0.06 0.84 The following list has statements about the classifiers. In the list, there is a single incorrect statement. Please identify the incorrect statement. Hint 1: recall that a classifier dominates another if both performance measures are better. Hint 2: to help you visualize and compare classifiers, you may want to plot the classifier data in a ROC graph (which will not be submitted). Select one: Qa. O b. Oc. d. By swapping zeroes and ones, M5 can be worsened M8 does not dominate M9 M1 dominates all of M4, M5 and M6 M1 is a good classifier ? e. By swapping zeroes and ones, the performance of M4 does not change…arrow_forwardConsider the following training data, shown below before centering. XY 1 0 1 1 1 1 1 1 00 1 1 1 0 0 1 1 1 0 1 1 This data set will be analysed after centering all columns (not scaling). In what follows, the centered data columns are referred to as X and Y. Using these centered columns, we have the following quantities: XTX = 24/11 = 2.1818; XTY = 13/11 = and YTY = 24/11 = 2.1818. Ridge regression Q1 For 2 = R AR = 1.1818 0.56, compute and write in the provided space the ridge estimate ẞ (0.56). Use decimal numbers, not fractions. Q2 Using the ridge estimate ẞ (0.56) you just computed, determine the percentage of shrinkage achieved with respect to the squared L2 norm. That is, compute the shrinkage using || (0.56)||||||with the OLS estimate. In the provided space, write the shrinkage as percentage between 0 and 100 with decimal values. Lasso AR Q3 The following are several expressions for the lasso estimate: (2) = 0.5833 * (1 - 0.84622); L L (a) = 0.5833 * (1 -0.78572); (A) = 0.5417 *…arrow_forwardCalculate the 95% confidence intervals for the proportion of children surviving, and the proportion of non-crew adult passengers surviving. We want to use the given data to make inferences about the general population of all large boat crashes, so the data set should be treated as a random sample for this purpose. Part 2 The 95% confidence interval for survival rate amongst non-crew adults runs from enter your response here% to enter your response here%. (Round to one decimal place as needed. Use ascending order.) Part 3 The 95% confidence interval for survival rate amongst children runs from enter your response here% to enter your response here%. (Round to one decimal place as needed. Use ascending order.) Part 4 Test the alternative hypothesis that the proportion of children surviving does not equal 35%, and next, test the alternative hypothesis that the proportion of non-crew adult passengers surviving does not equal 35%. Again, the data set should…arrow_forward
- Using the toddler data table in Question 1, describe the toddlers in the sample with joint probabilities only. (300) B(K)-00+300 501 30 smot dbabib (oor de leng 001-009:(00s) 200, yoogie Fox (D) ed to diman edarrow_forwardRight-Handed Left-Handed 24 Gender Males 4 Females 2 12arrow_forwardappropriate probabilities. 19 Using the data from Table 17-1, are gender and political party independent for this group? nis cow sib signia si Falows grillor le pussarrow_forward
- 11 Using the same toddler data, describe the toddlers with marginal probabilities only. BAY bit of benoliesmas (89 abje' jook stages of te cojota ing ou an out of to cojota ovig ber el ba 3+4=029arrow_forward21 Using the data from the table in Question 1, does the dominant hand differ for male toddlers versus female toddlers? (In other words, are these two events dependent?)arrow_forwardop In a two-way table with variables A and B, does P(A|B) + P(A|B) = 1? பே 69 6 work as m 3 atavs ow to portabagabat sot gaisarrow_forward
- In a two-way table with variables A and B, does P(A|B)+P(A|B)=1? dsins/Ispino936) 1 durab ALED a to gilidadost Earrow_forwardpreference are dependent (you even have to look at the males). Using the bumper sticker data in the first example problem in this chapter, are car age and number of bumper stickers related (In other words, are these two events dependent?) d insbusqabni oss agit ads bms gliw woy tadi validadong ada 15W wex s m ad ow MP gliw Boy 1st yilidadong at al terW .d Shsed smo viaxe 5X9 of pe 012 from 12 or to HOM qose Aunt swam to prepants M&arrow_forward23 வ dous biops Which marginal probabilities that you find in a two-way table should sum to 1? 著arrow_forward
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