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數學與統計 大學

看不懂表格的數據 有人可以詳細解釋嗎?

其次作雙變項分析,由表四觀察,可知各自變 項與良好飲食行為的相關均為中等至稍弱,最強的 相關為情境自我效能(r=.36 ),其次為自覺障礙 性(r = -25 ),自覺利益性(r.19)與自覺罹患性 =.16)則稍弱而數值較接近,自覺嚴重性及個人自 我效能則沒有顯著相關。 研究者將各自變項放入複迴歸模式中,結果如 表五。達到顯著意義的預測變項為性別(B=.50)、 情境自我效能(B=.42)、自覺障礙性(B=.19)、自 覺利益性(B=.13),自覺罹患性(B-09),整體模 50 黃連具 纸元青 式可解釋的變異量達18%。較值得注意的是:自覺 罹患性對飲食行為的影響係負號,即愈覺得不可能 罹患疾病者,飲食行為愈佳,這是和健康信念模式 所預測的方向相反的。健康信念模式的變項和飲食 行為的相關,在控制社會人口學變項後,也仍然存 在。 表五 各變項對飲食行為之複迴歸係數及解釋變異 量n=451 迴歸係數(6) 標準誤 T值 顯著水準, 自從罹患性 -.09 204 .04 自覺嚴重性 .01 .06 .03 n..s. 自覺障礙性 -.19 .07 .01 自覺利益性 .13 .41 .00 個人自我效能 .04 .04 1.03 n.s. 情境自我效能 .42 .06 6.77 健康狀況 .12 .23 .50 n.s. 年級 .03 .23 .03 n.s. 性別(d) .50 .46 .13 家庭社經地位 .19 .16 1.19 n.s. R-square 車車事 表四 飲食行為與社會心理學變項相關情形 n=451 自觉耀自覺嚴自障自覺利個人自情境自 患性重性礙 性益性我效能我效能 飲食行為 - 16中車 - 25** .19** .09 .36*** **p<.05 ***p<.001 .04 .18 d-dummy variable ES: l-0-3 *p<.05. **p<.01 ***p<.001

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數學與統計 大學

急!求救 #6 8 9 如果需要酬勞可私下談 (ex.$70題)

pie participation in informal 6.The National Science Foundation (NSF) sponsored a study on girls' science, technology, engineering, or mathematics (STEM) programs. The results of the study were published in Cascading Influences: Long-Term Impacts of Informal STEM Experiences for Girls (March 2013). The researchers sampled 174 young women who recently participated in a STEM program. They used a pie chart to describe the geographic location (urban, suburban, or rural) of the STEM programs attended. Of the 174 participants, 107 were in urban areas, 57 in suburban areas, and 10 in rural areas. a.Determine the proportion of STEM participants from urban areas. b.Determine the proportion of STEM participants from suburban areas. c.Determine the proportion of STEM participants from rural areas. d. Multiply each proportion in parts a-c by 360 to determine the pie slice size (in degrees) for each location. e.Use the results, part d, to construct a pie chart for geographic location of STEM participants. f.Interpret the pie slice for urban areas. g.Convert the pie chart into a bar graph. Which, in your opinion, is more informative? 7. All high way bridges in the US are inspected periodically for structural deficiency by the FHWA. Data from the FHWA inspections are compiled into the National Bridge Inventory (NBI). Classify each variable below as quantitative or qualitative. a. Length of maximum span (feet). b. Number of vehicle lanes. c. Toll bridge (yes or no). d. Average daily traffic. e. Condition of deck (good, fair, or poor). f. Bypass or detour length (miles). g. Route type (interstate, U.S., state, county, or city) 8. The NBI data were analyzed and the results made available at the FHWA Web site. Using the FHWA inspection ratings, each of the 608,272 highway bridges in the US was categorized as structural deficient, functionally obsolete, or safe. About 13.5% of the bridges were found to be structural deficient, while 3.5% were functionally obsolete. a. What is the variable of interest to the researchers? b. Is the variable of part a quantitative or qualitative? c. Is the data set analyzed a population or a sample? Explain. d. How did the NBI obtain the data for the study?

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數學與統計 大學

第二題的d的積分範圍要怎麼設

6 Kx, lo, 14) 1. (10 points) How many even numbers can be formed from the digits 9, 1,4,5,6, and 9 if each digit can be used only once? 2. (50 points) Let X and Y denote the lengths of life, in years, of two components A and B, respectively, ş! x2 in an electronic system. If the joint density function of these variables is 64 0<x<1-ycl EX,Y) Rx hy 0 < x <1.0<x<1-x: f(x, y) = elsewe jey.301-4)*84f CX74 3 Rxdy * 了 1' Jay You Determine the value k; FED ECX) = 86 x 6xci->)dy cy) 3(1-2) ² (b) Find the marginal distributions, expected values, variances, and covariance of X and Y; dy= 1 (C) Determine whether X and Y are dependent or independent; X(d) Find the probability that the length of life of component A is less than that of component B; X(e) Find the probability that the length of life of component A is greater than one year, given the ar length of life of component B is equal to two year. xcy 1313. (10 points) The probability that a flight departs on time is 0.3; the probability that it arrives on time is 0.3; and the probability that it departs and arrives on time is 0.1. Find the probability that it arrives on time, given that it did not depart on time. ex oin 4. (20 points) The waiting time, in hours, between successive speeders spotted by a radar unit is a continuous random variable with cumulative distribution -8x76 / le = 1- e 11-e dx x ZO; dv=e 0, f(x) = f'(X) = x < 0. 8 e V= 1 84 (a) Find the probability of waiting less than 10 minutes between successive speeders; hind the wyerane waiting time between successiye speeders spotted by a radar unit. 013-0il u=X -8X -81 -8% ge

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數學與統計 大學

嗯...不會統計更不會英文統計 有人可以教嗎🥺

Homework #1 TabletPC Comparison providesawide variety ofinformation abouttablet computers. The company's website enables consumers to easily compare different tablets using factors such as cost, type of operating system, display size, battery life, and CPU manufacturer. A sample of 10 tablet computers isshowninTable 1. (1) How many elements are in this data set? (2) How many variables are in this data set? (3) Which variables are categorical and which variables are quantitative? (4) What type of measurement scale is used for each ofthe variables? Table 1 Product Information for 10 Tablet Computers 點 Cost Operating| Display Size | Battery Life」 CPU (9 | System | (inches) (hours) |Manufacturerl AcerIconia W510 599 [Windows| 104 85 Intel Amazon Kindle Fire HD | 299 |「Android 89 9 TI Apple iPad 4 499 | ios 97 1 Apple HP Envy X2 | 860 [Windows| 116 8 Intel Lenovo ThinkPad Tablet| 668 「Windows| 101 105 Intel MicrosoftSurface Pro | 899 「Windows| 106 4 Intel Motorola Droid 530 「Android 1041 9 TIOMAP XYboard Samsung Ativ SmartPC| 590 「Windows| 116 7 Intel Samsung Galaxy Tab 525 「Android 104 10 Nvidia Sony Tablet 5 360 」Android 94 8 Nvidia 寢 For each of the following variables, indicate whether it is quantitative or qualitative and specify the measurement scale that is employed when taking measurements on each: (1 Class standing of the members of this class relative to each other (2) Admitting diagnosis of patients admitted to amental health clinic (3) Weights of babies born inahospital duringayear (4) Gender of babies born inahospital duringayear (5) Range of motion of elbow joint of students enrolled inauniversity health sciences curriculum (6) Under-arm temperature of day-old infants born inahospital

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數學與統計 大學

33題,有人可以幫我列算式就好嗎 是波氏分配(卜瓦松分配)題目

CHMAPTER 6 smen er replacem es, muff plecitlons w 1r 同 the numper oftransmissf sen0C7 polsson 昌關 dmwpute 4 o Shop. The! te dett Ave/lino's Aut 字 ee 3 stributlon le butlon ls the an summary, the Polsson dis 呈ty dlstob n summar OP 4 needed to construct a Poiss 4 on aa random variable, desl9! errors, or other r: ellhood t 的 elikeli nedthejkelJncoo 同 on nsurance Company ge 1 polic surar From actuary taples, Washington 2 gten nsurance aty 』 age 25 wi qie within the next year is pay ity they wi 25-year-ojg men this year' whatis the probabilty 3 JjnaPoisson distributionn 三0.4 a. What is the probapility thatx三0 b. What is the probability thatx > 0? 32. 全a Poisson distributionh 二4 a. What is the probapbility thatx 三 2? b. What js the probapbiljty thatx 生 2? f experience, c. What js the probability thatx> 2? m her years ol 還 officer at Coast Bank and Trust. Fro ble to repay 9 inot bea she estimates that the probability is .025 that an applicant wi hs or her jnstajiment loan. Last month she made 40 1 父 What js the probability that three loans will be 和 sfaulted? 紀 What js the probability that at least three loans will be del tthe rate oftwo per Automobijles arrive at the Elkhart exit ofthe Indiana Tol 同 ibution minute. Tne distribution of arrivals approximates a Poisson distri 了人 a.- What is fhe Probabifity that no automopbiles arrive in a particular uiar Pp. what js fhe Propabjlity that at least one automobile arrives during mrnute? 5 站5 estimated that 0.5% ofthe Callers to the Customer Service department of Dell Jnc. wil receive a busy signal. whatis the probability that oftoday's 1,200 callers at reast 5 received a Pbusy signal? 。 生如e past schools jn Los Angeles Couni year for weafher enmergencies. What is 1 Counfy wi close for 4 days next year? 24 ty have closed an average of 3 days each he probability that schools in Los Angeles opapjlity distribution js a !ting apjjty associated wjth each Out( discrete propapjjity distribution can aSsume only certain values. The main features are: _The sum offhes probabilties is 1.00. The probapijlity ofa particular outcome is between 0.00 and 1.00. Jheoutcomes are mutually exclusive. ontinuous djsfribution can assume an jmfnite number ofvalues within a speecsi iean and variance ofa probability distribution are Computed as follows, mean js equalto: Come- ific rang variance js egqual to:

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