What should you do for the following concepts before analyzing them? Choose from these options: A. Directly analyze this variable. B. Create a composite (e.g., the sum or mean) of the concept's indicators for each unit of analysis. C. Create a composite (e.g., the sum or mean) of the concept's indicators for each unit of analysis AND assess the reliability (internal consistency) of this concept's indicators (e.g., calculating Cronbach's alpha). D. For each dimension of this concept, create a composite (e.g., the sum or mean) of the dimension's indicators for each unit of analysis AND assess the reliability of indicators separately for each dimension (e.g., calculating Cronbach's alpha).

For an article in a magazine, 20 different vehicles were selected to obtain data for comparison.  From each vehicle the price in dollars, the fuel economy (in miles per gallon), the number of doors, the type of vehicle (car, truck, SUV, other), and if it had all wheel drive or not.                                          ​a. What are the cases?     ​b.  List the variables and identify them as quantitative or categorical.

Give a detailed outline for this: Also, do not give plagirised answer. Suppose that you have two sets of data. The first set is a list of all the injuries that were seen in a clinic in a month's time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor's office. You can make assumptions about other information or variables that are included in each data set. For each data set, propose your idea of how best to represent the key information. To organize your data, would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why? What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph? Minimum of 1 scholarly source and one appropriate resource such as the textbook, math video, and/or math website

Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed: X1 = Length of time an employee was in the industry X2 = Mechanical aptitude test score X3 = Prior on-the-job rating X4 = Age Performance on the new machine is designated y. Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are: Length of Time in Industry, Performance on New Mechanical Aptitude Prior On-the-Job Machine, Score, Performance, Age, Name X1 X2 X3 X4 y 112 Mike Miraglia Sue Trythall 12 312 121 52 113 2 380 123 27 The equation is: ý = 11.6 + 0.4x1 + 0.286x2 + 0.112x3 + 0.002x4 a. What is this…

Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed:   x1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score x3 = Prior on-the-job rating x4 = Age   Performance on the new machine is designated y.   Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are:     Performance on New Machine, Length of Time in Industry, Mechanical Aptitude Score, Prior On-the-Job Performance, Age, Name y x1 x2 x3 x4 Mike Miraglia 118   11   343   122   50   Sue Trythall 116   8   307   128   21       The equation is: yˆy⁢^⁢  = 10.2 +…

Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed:   x1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score x3 = Prior on-the-job rating x4 = Age   Performance on the new machine is designated y.   Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are:     Performance on New Machine, Length of Time in Industry, Mechanical Aptitude Score, Prior On-the-Job Performance, Age, Name y x1 x2 x3 x4 Mike Miraglia 118 11 343 122 50           Sue Trythall 116 8 307 128 21               The equation is:   yˆ = 10.2 +…

Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed:   x1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score x3 = Prior on-the-job rating x4 = Age   Performance on the new machine is designated y.   Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are:     Performance on New Machine, Length of Time in Industry, Mechanical Aptitude Score, Prior On-the-Job Performance, Age, Name y x1 x2 x3 x4 Mike Miraglia 112   12   329   122   31   Sue Trythall 117   10   387   119   23       The equation is: yˆ y⁢^⁢  = 11.8…

Some research questions are summarized below. For each situation, identify all variables and characterize them in terms of the level of measurement. Identify which variables are dependent and which are independent.    a. Are male and female entrepreneurs different in terms of their business success (measured in how much money they made last year)? b. Do years in college change students’ perceptions of their resilience, grit, and perseverance (measured with scales)? c. How do international marriages (marriage between two people from different countries) change over time(measured in years)?

The key measure of disease occurrence for assessing risk of a disease:   Question 13 options:   is primarily incidence data.   is primarily prevalence data.   could equally be both incidence and prevalence data.   is neither incidence data nor prevalence data.

The manager Concerned about her current customer base, manager Andersen started to think of factors that might affect the attractiveness of an auditing firm. Of course, the service quality provided and the fees charged by the auditor seem two important factors. Next, she decides that the reputation of the auditing firm also needs to be included in the framework as an independent variable. As illustrated by the dramatic effects of recent auditing scandals, reputation seems especially important for large auditors (i.e., auditing firms that are large in size). Finally, manager Andersen also thinks that the proximity of the auditing firm to the customer is another variable to be included as an independent variable. Proximity very likely affects the possibility for the client to personally meet with the auditors on a regular basis and she knows from her own contact with customers that they perceive personal interactions as quite important. Consider the above scenario shown; answer the…