Concept explainers
Job satisfaction of women in construction. The hiring of women in construction and construction-related jobs has steadily increased over the years. A study was conducted to provide employers with information designed to reduce the potential for turnover of female employees (Journal of Professional Issues in Engineering Education & Practice, April 2013). A survey questionnaire was emailed to members of the National Association of Women in Construction (NAWIC). A total of 477 women responded to survey questions on job challenge and satisfaction with life as an employee. The results (number of females responding in the different categories) are summarized in the accompanying table. What conclusions can you draw from the data regarding the association between an NAWIC member’s satisfaction with life as an employee and her satisfaction with job challenge?
Life as an Employee | |||
Satisfied | Dissatisfied | ||
Job Challenge | Satisfied | 564 | 33 |
Dissatisfied | 24 | 26 | |
Source E. K. Malone and R. A. Issa. “Work-Life Balance and organizational Commitment of Women in the U.S. Construction Industry”, Journal of Professional issues in Engnieering Education & Practice, Vol. 139, No. 2, April 2013 (Table 11). |
Want to see the full answer?
Check out a sample textbook solutionChapter 10 Solutions
EBK STATISTICS FOR BUSINESS AND ECONOMI
- Problem: Out of a total number of 1,807 women who were interviewed for employment in a Textile factory of Mumbai 512 were from textile areas and the rest from the non-textile areas. Amongst the married women who belonged to textile areas, 247 were experienced and 73 inexperienced, while for non textile areas, the corresponding figures were 49 and 520. The total number of inexperienced women was 1,341 of whom 111 resided in textile areas. Of the total number of women, 918 were unmarried and of these the number of experienced women in the textile and non-textile areas was 154 and 16 respectively. Tabulate.arrow_forwardDo waiters or waitresses earn larger tips To answer this Do waiters or waitresses earn larger tips? To answer this question, a restaurant consultant undertook a preliminary study. The study involved measuring the percentage of the total bill left as a tip for one randomly selected waiter and one randomly selected waitress in each of 50 restaurants during a 1-week period. What conclusions can be drawn from these data? Do waiters or waitresses earn larger tips To answer thisarrow_forward2. Based on past records, it is generally believed that on an average, a typical University of Technology and Applied Sciences, Nizwa student spends about 25 hours in the LRC per week. Recently, the library has been shifted to a new location which is further away from the academic block. As a result, the administration feels that students may be spending less time in the library. Accordingly a random sample of 41 students were selected and the average number of hours they spend in the library came out to be 16.78 with a standard deviation of 5.17. Carry out an appropriate test of hypotheses for the above problem to test whether the shifting of the library has adversely impacted the study time in the population of all students. (You may assume that study times/week approximately follow a normal distribution in the population).arrow_forward
- Read the executive summary thoroughly and attempt the questions given below:The prevailing of fast food consumption and obesity in Iranian student is high. Fast food consumptionwas associate with abdominal obesity based on WHR, but did not has related to general obesity basedon BMI. In an analytical cross-sectional study, 300 students were selected random from the twolargest universities in Qom, center of Iran, studying in medical and basic sciences fields in 2015. Isuccessfully collected the data by a modified version of NELSON’S fast food questionnaire andanthropometric measures including Waist-Hip Ratio (WHR) and Body Mass Index (BMI). Chi-square,independent t-test, and multivariate logistic regression were used for statistical analysis. I want toestimate the prevalence of fast food consumption and to assess its association with abdominal andgeneral obesity. My results has shown that, 72.4% (67.4% in females vs 80.7% in males) had at leastone type of fast food consumption in the…arrow_forwardBirth weight and smoking during pregnancy,Birthweight,Smoker3771,03140,03317,04210,03076,03771,03487,03487,01559,03630,03572,03260,03430,04224,02955,03912,03196,03459,03459,03430,02750,03686,03260,03969,03430,03629,02863,02830,03105,02948,03175,04309,03232,03487,02807,03820,03941,02211,03204,03657,13487,12495,14253,13147,13600,13005,12552,13147,14593,13430,11985,13317,13487,13884,13289,13470,12665,13090,12835,11843,14451,12863,1900,12353,13317,12850,13560,13080,12325,13119,13175,13313,13374,12750,12835,13345,12637,13742,13119,13345,13175,12013,13232,13286,13360,13402,12948,12580,13260,13686,12750,12977,12580,14082,12807,12381,13175,13714,13544,13544,1arrow_forwardA researcher investigated whether a father's level of optimism was predictive of his son's optimism as a young adult. Twenty (20) fathers and sons who agreed to participate in the study were administered a scale measuring their current level of optimism (the scale ranged from 10 to 50), with higher scores indicating greater optimism.arrow_forward
- Problem is given: Out of a total number of 10,000 candidates who applied for jobs in a government department, 6,854 were males, 3,146 were graduates and others, non-graduates. The number of candidates with some experience was 2,623 of whom 1,860 were males. The number of male graduates was 2,012. The number of graduates with experience was 1,093 that includes 323 females?arrow_forwardNote: If your answer does not exactly match the correct choice, it is due to rounding of intermediate calculations. To avoid the discrepancy, do your calculations in Excel without rounding. A life insurance company wishes to examine the relationship between the amount of life insurance held by a family and family income. From a random sample of households, the company collected the accompanying data. The data are in units of thousands of dollars. INSUR INCOME 97 38 141 29 y = X = Let INSUR 280 75 %3D INCOME 303 81 453 137 357 77 199 43 251 53 807 184 147 45 272 70 537 128 527 117 245 55 483 116 673 204 194 46 154 51 163 48 2 The denominator of the slope coefficient formula for the estimated regression equation is: 108,450.87 280 69 a 507 140 b 105,805.73 464 136 103,225.10 321 71 d 100,707.41 873 206 476 144 574 111 251 65 497 130 826 171 133 32 259 82 281 73 446 146 332 77 219 48 208 55 180 48 169 42 273 69 502 127 547 126 281 80 428 143 370 77 221 49 214 51arrow_forwardA researcher wants to study the behaviours of postgraduate students in Australia in mobile phone usage. One of the goals of the study is to find out the first app the students open every morning. The researcher collected a random sample of 1250 postgraduate students from 3 big universities in Sydney and asked them to fill in a questionnaire. Are the data collected by the researcher considered as primary or secondary data? Explainarrow_forward
- What is differance between three sector ecnomoy and four sector ecnomoyarrow_forwardAn economist collects data regarding the number of jobs an individual has held by age 21. Tim states he had 4 jobs, Sam had 3, Jill had 3, Sally had 2, and Watney had 10.An economist should use the to draw conclusions. A typical individual had jobs by the age 21.arrow_forwardProblem Set #3 J) The amount of income spent on housing is an important component of the cost of living. The total costs of housing for homeowners might include mortgages payments, property taxes, and utility costs (water, heat, electricity). An economist selected a sample of Inland Empire, California, homeowners and calculated housing costs as a percent of monthly income, 5 years ago and now. The information is reported below. Is it reasonable to conclude the percent is less now than 5 years ago? Apply the 6-step hypothesis testing procedure to test using a = 5% (0.05). (LMW) Five Years Now Ago Aziz 18 11 Baker 19 38 Cortez 28 36 Duran 42 26 Edgewort 35 11 Foster 44 42 Gomez 46 Hochhack 20 27 Isoko 48 27 Jarvis 48 25 Kenda 36 33 Li 17 33 Morales 24 22 Nasser 32 11 Oliphant 43 39 Pierce 45 43 Quest 29 23 Rawlins 28 18 Sorrento 40 36 Thomas 23 13arrow_forward
- Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSONEngineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
- Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage LearningManagerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage LearningManagerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education