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自然科學 大學

想問3-9的a跟c

Problems 3-1. Explain the difference between *(a) random and systematic error. (b) constant and proportional error. *(c) absolute and relative error. (d) mean and median. *3-2. Suggest two sources of systematic error and two sources of random error in measuring the length of a 3-m table with a 1-m metal rule. 3-3. Name three types of systematic errors. *3-4. Describe at least three systematic errors that might occur while weighing a solid on an analytical balance. *3-5. Describe at least three ways in which a systematic error might occur while using a pipet to transfer a known volume of liquid. 3-6. Describe how systematic method errors may be detected. *3-7. What kind of systematic errors are detected by varying the sample size? 3-8. A method of analysis yields masses of gold that are low by 0.4 mg. Calculate the percent relative error caused by this result if the mass of gold in the sample is (a) 500 mg. (b) 250 mg. V(c) 125 mg. (d) 60 mg. 3-9. The method described in Problem 3-8 is to be used for the analysis of ores that assay about 1.2% gold. What minimum sample mass should be taken if the relative érror resulting from a 0.4-mg loss is not to exceed *(a) -0.1%? (b) -0.4%? (c) -0.8%? (d) - 1.1%? 3-10. The color change of a chemical indicator requires an overtitration of 0.03 mL. Calculate the error if the total volume of titrant is percent relative (a) 50.00 mL. (c) 25.0 mL. 3-11. A loss of 0.4 mg of Zn occurs in the course of an percent relative analysis for that element. Calculate the error due to this loss if the mass of Zn in the sample is *(b) 10.0 mL. (d) 30.0 mL. 190 (c) 188 (d) 4.52 x 103 4.63 x 103 4.53 x 10 ³ √6 *(a) 30 mg. (b) 100 mg. *(c) 300 mg. (d) 500 mg. 3-12. Find the mean and median of each of the following sets of data. Determine the deviation from the mean for each data point within the sets, and find the mean devi- Vation for each set. Use a spreadsheet if it is convenient. *(a) 0.0110 0.0105 (b) 24.53 0.0104 24.68 24.81 24.77 39.61 862 (f) 850 MA 3-13. Challenge Problem: Richards and W the molar mass of lithium and colle data. 24.73 Experiment 1 2 3 4 5 6 194 447 X 10 7 448 X 107 4.58 X 10 (a) Find the mean molar t workers. (b) Find the median molar ma (c) Assuming that the cam molar mass of lithium is the absolute ertor and of the mean value demi Willard. (d) Find in the chemical ues for the molar mus since 1910, and ag a table or spreadshera 1817 given in the a Richards and Willd. Com mass versus year to la of lithium has chang Suggest possible abruptly about 18 ant de (e) The incredibly deals Richards and W that major changes will occur. Disc calculation in pat (f) What factors ha since 1910? (g) How would you mass? 6See Chapter 2 of Applications of Microsoft Excel in Analytical Chemistry, 4th ed., for information about statistical 7T. W. Richards and H. H. Willard, J. Am. Chem. Soc., 1910, 32, 4, DOI: 10.1021/ja01919a002. built-in statistical functions. "Answers are provided at the end of the book for questions and problems marked with an asterisk The I of ₂ or inc rce of able vas error c often in individu ate resul data in rtainties. dimensio andom e analysts The result

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英文 大學

請問學過測驗學或英文很強的大神,我用紫色畫起來的這段話該怎麼翻比較正確

110 95 63 Performance Are Motor Concepts Language Total ite socioeco indings n these TAL-3 itely v eads 89 104 Self-Help 77 88 Social-emotional Self-Help TAL reate esti ifies ess: nor wh 65 Temir Focial-emotional acc ch "F te er 0 H-1510-09 * 3. 5 PAPER+COPY+FAX 雙頭螢光筆 as the Early Screening Profiles, Differential Abilities Scale, and Peabody Picture Vocabulary Test-IV. A recent study favorably evaluates the con struct validity of the DIAL-3 through confirmatory factor analysis (Assel & Anthony, 2009). As noted the instrument was designed to screen for devel opmental delays in three domains: motor abilities, conceptual knowledge, and language competence. An essential feature of the test is that separate scores are reported for each domain. These domains and the 74 fubtests comprising them were rationally precon- derved by the test authors. An important question is whether the 21 subtests “hang together” statistically in a manner that supports the rational grouping into the three domains provided by the test developers, In other words, do the three domains possess a latent reality, or are they merely figments of the imagina- tions of the test developers? Using test results for 1,560 children ages 3 to 6, Assel and Anthony (2009) found an excellent fit between the three domains tra- ditionally reported on the DIAL-3 and three empiri- cally derived domains found through factor analysis, which supports the construct validity of the test. However, these authors did note that Articulation subtest was a poor index of language compe Cotchine subteet

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