Suppose Bank of America would like to investigate if the credit score and income level of an individual are independent of one another. Bank of America selected a random sample of 400 adults and asked them to report their credit score range and their income range. The following contingency table presents these results. Credit Score Class Less than 650 650-750 More than 750 Income < $50,000 29 31 23 $50,000 3 Income < $100,000 $100,000 s Income < $150,000 64 42 55 30 31 Income 2 $150,000 28 33 29 The expected number of individuals with income between $50,000 and $100,000 and a credit score less than 650 is

I need help with number 8, 4, and 5. Thank you so much :)

1. We are interested in determining if absences from a class affect your overall class grade. The following data from 10 students is provided: Absences Grade 89.2 1 83.7 83.5 81.1 4 78.2 73.9 6 64.3 7 71.8 8 55.9 65.2

The provided table shows the in-state undergraduate tuition in 2014 and 2018 for 33 public universities.Virginia's data was identified as an unusual observation. Remove it from the dataset before performing the following analysis.Year2014Year2018Year2014Year2018Year2014Year2018UniversityUniversityUniversityPenn State17,50218,454Ohio State10,03710,726Texas979810,606Pittsburgh17,77219,080Virginia12,99817,564Nebraska80709154Michigan13,48615,262Cal-Davis15,58914,463lowa80799267Rutgers14,29714,974Cal-Berkeley12,97214,184Colorado10,78912,532Michigan StateCal-Irvine14,75715,614Iowa State7731898813,81314,460Purdue10,0029992North Carolina83468987Maryland942710,595Illinois15,02015,094Cal-San Diego13,45614.199Kansas10,44811,148Minnesota13,62614,693Oregon991811.898Arizona10,95712,487Missouri11,02112,055Wisconsin10,41010,555Florida63136381Buffalo887110,099Washington12,39411,517Georgia Tech11,39412,424Indiana10,38810,681UCLA13,02913,774Texas A&M917910,968Click to download the data in your…

Is there a relation between incidents of child abuse and number of runaway children? A random sample of cities (over 10,000 population) gave the following information about the number of reported incidents of child abuse and the number of runaway children. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.) City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Abuse cases 113 33 41 60 52 99 31 56 15 67 106 59 45 74 84 Runaways 648 188 285 687 421 590 284 277 162 473 600 432 317 580 592 Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of incidents of abuse and number of runaway children. (a) Rank-order abuse using 1 as the largest data value. Also rank-order runaways using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. City Abuse CasesRank x RunawaysRank y d = x - y d2 123456789101112131415 Σd2 =  (b) What is the level of…

The table below shows the auto insurance quotes for two leading companies for a sample of 15 families. Assume the populations SDs are similar, but unknown. The President of the American Insurance Institute wants to compare the yearly costs of such insurance offered by the two companies. At the 0.10 level of significance, can we conclude that there is a difference in the amounts quoted? Families Southern Car American Mutual   ($) ($) 1 2090 1610 2 1683 1247 3 1402 2327 4 1830 1367 5 930 1461 6 697 1789 7 1741 1621 8 1129 1914 9 1018 1956 10 1881 1772 11 1571 1375 12 874 1527 13 1579 1767 14 1577 1636 15 860 1188

You just finished statistics class and are eager to collect and analyze your own data!  You run out and collect data on students' living arrangements (measured as either on-campus housing or off-campus housing) and whether they are involved in extra-curricular activities (measured as either involved or not involved).  You want to examine whether there is an equal distribution of students who live on- and off-campus among those are are involved or not involved in extra-curricular activities.  You will most likely use ___ to analyze your data.         Group of answer choices a z-test a two-sample t-test a one-sample t-test an ANOVA a correlation a chi-square test a z-score a one-predictor regression a two-predictor regression