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- A cell phone company offers 6 different voice packages and 8 different data packages. Of those, 3 packages include both voice and data. How many ways are there to choose either voice or data, but not both?In an experiment examining human memory, two groups of participants are used. One group is allowed 5 minutes to study a list of 40 words and the second group is given 10 minutes of study time for the same list of words. Then, both groups are given a memory test, and the researcher records the number of words correctly recalled by each participant. For this experiment, identify the independent variable and the dependent variable.In order to determine the effects of a new pill that is supposed to reduce hair loss, a researcher conducts the following experiment: 500 volunteer subjects (300 men and 200 women) all of which suffer some degree of hair loss are selected to participate in the study. The researcher gives to the women the real pill and the men a sugar pill, but only the researcher knows this.The results of the experiment are likely to be invalid mostly because the gender of the patient could be a confounding variable in this experiment. the subjects were volunteers. the subjects did not know if they were getting the real treatment. the treatment group and control group were not the same size. None of the above
- The relationship between the independent variable (IV) and the dependent variable (DV) is likely to be mediated by a third variable (MV). With regard to the statement above, which of the following is most likely to be correct? A IV = Students’ performance (i.e., marks) in the formative assessment; DV = Students’ performance (i.e., marks) in the summative assessment, and MV = Students’ level of comfort with the venue of the assessments B IV = Students’ performance (i.e., marks) in the summative assessment; DV = Students’ performance (i.e., marks) in the formative assessment, and MV = Students’ level of preparation for the assessments. C IV = Students’ performance (i.e., marks) in the formative assessment; DV = Students’ performance (i.e., marks) in the summative assessment, and MV = Students’ level of preparation for the assessments D IV = Students’ performance (i.e., marks) in the summative assessment; DV = Students’ performance (i.e., marks) in the formative assessment,…Economists, Angrist and Lavy (1999) exploited an 800 year-old rule regarding classroom size to estimate the causal effect of smaller classes on student achievement. The rule, made famous by 12th century scholar Maimonides, states that one teacher is sufficient to manage a class with up to 40 students. Classes with more than 40 students will require 2 teachers. Angrist and Lavy noticed that strict application of this rule in certain areas meant that if 80 students were enrolled in a school, then the school would divide them up into two groups of 40 students per teacher. If 81 students were enrolled, however, they would be placed in three classes of 27 students each. The rule thus generated sharp discontinuities in class sizes within schools, which, the authors argue, allow them to provide causal evidence of a boost in fifth grade math and reading scores as a result of smaller class size. a. What research design is implied by the authors’ use of Maimonides’ rule to estimate the causal…Which concrete is best sold where? The marketing team of an engineering firm noticed that some of their concrete products are having trouble being sold at some of their distribution points. So they decided to investigate the sales for three concrete types: high-strength concrete, stamped concrete, and high-performance concrete. After consulting with the sales managers at three of their distribution points (A, B and C), they suspected two possibilities as potential reasons for the sales problem. The first is simply that some concrete types just sells better than others. The second is that in general, concrete sells in some places better than in others. So, they thought that if the first reason was true, they would have to just cut down on the production of the concrete types which don’t sell well. But if the second reason was true, then they would just limit normal distribution of concrete to places where it sells well. To clear these issues out they conducted a study. For each…
- A research has been conducted to determine the factors affecting the tax return preparation period. Accordingly, Y = b0 + b1x1 + b2x2 + b3x3 + b4x4+ ε model containing 4 independent variables was created. 40 accountants were interviewed and the following results were reached: y = 17,2 + 3,8x1 – 1,04x2 + 2,15x3 + 15,1x4 y : Tax filing preparation time (minutes) x1: Income of individuals ($ 1000) x2: Age of individuals x3: Number of people living in the household x4: 1 if individuals are hosts, 0 if not = 5.3, = 0.13, = 0.33, = 1.51, = 4.7, R2 = 0.45. a) Interpret the estimate ? b) interpret the value of R2 c) Whether the coefficient of ?4 is different from 0, by creating the relevant hypotheses, testing at the level of α = 0.01 significance Please. Interpret the results d) Test the zero hypothesis, expressed as ?1 = ?2 = ?3 = ?4 = 0, at the level of significance α = 0.01. Interpret the resultsA research has been conducted to determine the factors affecting the tax return preparation period. Accordingly, Y = b0 + b1x1 + b2x2 + b3x3 + b4x4+ ε model containing 4 independent variables was created. 40 accountants were interviewed and the following results were reached: y = 17,2 + 3,8x1 – 1,04x2 + 2,15x3 + 15,1x4 y : Tax filing preparation time (minutes) x1: Income of individuals ($ 1000) x2: Age of individuals x3: Number of people living in the household x4: 1 if individuals are hosts, 0 if not = 5.3, = 0.13, = 0.33, = 1.51, = 4.7, R2 = 0.45. d) Test the zero hypothesis, expressed as b1 = b2 = b3 = b4 = 0, at the level of significance α = 0.01. Interpret the results? already a expert solved first three part can you help me with DThe top 25 companies (by market capitalization) operating in the Washington, DC, areaalong with the year they were founded and the number of employees are given below.Make a stem-and-leaf display of each of these variables and write a short description ofyour findings.
- The production department of Celltronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, two employees were assigned to assemble the subassemblies. They produced 15 during a one-hour period. Then four employees assembled them. They produced 25 during a one-hour period. The complete set of paired observations follows. Number ofAssemblers One-HourProduction (units) 2 15 4 25 1 10 5 40 3 30 The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees. Click here for the Excel Data File Draw a scatter diagram. On the graph below, use the point tool to plot the point corresponding to the first Number of Assemblers and her Production (No of Assemblers1). Repeat the process for the remainder of the sample (No of…The production department of Celltronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, 2 employees were assigned to assemble the subassemblies. They produced 11 during a one-hour period. Then 4 employees assembled them. They produced 18 during a one-hour period. The complete set of paired observations follows. Number ofAssemblers One-HourProduction (units) 2 11 4 18 1 5 5 23 3 18 The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees. Click here for the Excel Data File Draw a scatter diagram. On the graph below, use the point tool to plot the point corresponding to the first Number of Assemblers and her Production (No of Assemblers1). Repeat the process for the remainder of the sample (No of Assemblers2,…A manager wants to see if geographical region (Cape Town, Durban and Gauteng) is related with ownership of a tablet (“Have a tablet” and “No tablet”). Define the null hypothesis and the alternative hypothesis. A. H1: Geographical region and ownership of a tablet are independent vs H0: No relationship exists between Geographical region and ownership of a tablet B. H0: Geographical region and ownership of a tablet are independent vs H1: A relationship exists between Geographical region and ownership of a tablet C. H1: Geographical region and ownership of a tablet are independent vs H0: Geographical region is dependent on ownership of a tablet D. H0: A relationship exists between Geographical region and ownership of a tablet vs H1: No relationship exists between Geographical region and ownership of a tablet
