Was there a significant difference in the performance of stocks on the t during the previous year? Уear? 6. One hundred army recruits were randomly assigned to four drill sergeant At the end of boot camp 84 recruits remained, and their performance in the ras timed. For Sergeant Adams, 11 of his 20 recruits performed above t Sergeant Baker, 8 of her 22 recruits performed above the median. Sergeamn 8 of his 20, and Sergeant Davis had 15 perform above the median. Is the difference in the performance results for the four drill sergeants? ROBLEMS 1 Show that if a equals b, then Equation 1 becomes Equatiorn 3. 2. Show that Equation 1 is the same as Equation 4.2.11 when r equals 2. The usual parametric test for the design in this section (the one-way layou each observation has a normal distribution instead of being merely a zero or on whether it is below or above the median. If the observations in each sa 3. Os when they are below the grand median and 1s if they are equal to or al median, the statistic for the previous parametric test, computed on the 0s and 2 (N- c) w n'j j-1 ni F = 9MAXG (c - 1) j-1 nj Show that F may be written as the following function of T, T(N-c) F = (N-T(c- 1) and that therefore rejecting Ho for large T is equivalent to rejecting Ho for MEASURES OF DEPENDENCE The contingency table is a convenient form for examining data to s 609 some sort of dependence inherent in the data. The particular type of Po Pulations 2 Sample Totals grand >Median От O12 arand SMedian O21 O22 O2c b Totals n2 N nc Let a equal the total number of observations above the grand median in all samples and let b equal the total number of values less than or equal to the grand median. Then a b = N, the total number of observations. Assumptions 1. Each sample is a random sample. 2. The samples are independent of each other. 3, The measurement scale is at least ordinal. 4, If all populations have the same median, all populations have the same probability p of an observation exceeding the grand median. Test Statistic The test statistic is obtained by a rearrangement of the test statistic given in the previous section, noting that O ni- Oi in the special case of two rows. nia Оli N2 T = ab (1) i-1 boo If a calculator is being used, the following form is more convenient. b O1 Na (2) T = ab b ni If a is approximately equal to b, as it should be unless there are many values equal to the grand median, the following simplification of the test statistic may be used. (3) T= (O-O2)2 ni i 1 The simplified form for T given in Equation 3 is exact if a b. It is only approxi- mate otherwise.

Was there a significant difference in the performance of stocks on the t during the previous year? Уear? 6. One hundred army recruits were randomly assigned to four drill sergeant At the end of boot camp 84 recruits remained, and their performance in the ras timed. For Sergeant Adams, 11 of his 20 recruits performed above t Sergeant Baker, 8 of her 22 recruits performed above the median. Sergeamn 8 of his 20, and Sergeant Davis had 15 perform above the median. Is the difference in the performance results for the four drill sergeants? ROBLEMS 1 Show that if a equals b, then Equation 1 becomes Equatiorn 3. 2. Show that Equation 1 is the same as Equation 4.2.11 when r equals 2. The usual parametric test for the design in this section (the one-way layou each observation has a normal distribution instead of being merely a zero or on whether it is below or above the median. If the observations in each sa 3. Os when they are below the grand median and 1s if they are equal to or al median, the statistic for the previous parametric test, computed on the 0s and 2 (N- c) w n'j j-1 ni F = 9MAXG (c - 1) j-1 nj Show that F may be written as the following function of T, T(N-c) F = (N-T(c- 1) and that therefore rejecting Ho for large T is equivalent to rejecting Ho for MEASURES OF DEPENDENCE The contingency table is a convenient form for examining data to s 609 some sort of dependence inherent in the data. The particular type of Po Pulations 2 Sample Totals grand >Median От O12 arand SMedian O21 O22 O2c b Totals n2 N nc Let a equal the total number of observations above the grand median in all samples and let b equal the total number of values less than or equal to the grand median. Then a b = N, the total number of observations. Assumptions 1. Each sample is a random sample. 2. The samples are independent of each other. 3, The measurement scale is at least ordinal. 4, If all populations have the same median, all populations have the same probability p of an observation exceeding the grand median. Test Statistic The test statistic is obtained by a rearrangement of the test statistic given in the previous section, noting that O ni- Oi in the special case of two rows. nia Оli N2 T = ab (1) i-1 boo If a calculator is being used, the following form is more convenient. b O1 Na (2) T = ab b ni If a is approximately equal to b, as it should be unless there are many values equal to the grand median, the following simplification of the test statistic may be used. (3) T= (O-O2)2 ni i 1 The simplified form for T given in Equation 3 is exact if a b. It is only approxi- mate otherwise.

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 10CYU

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