Online shopping has dramatically increased during the last few years. Companies are always interested in studying customers' satisfaction of their goods and services. In a market study for a specific item, customers were asked to rate their online shopping experience. Each customer gave their subjective score on a integer scale, with 0 indicating not at all satisfied and 100 indicating totally satisfied for some specific aspects of a recent order. The collected dataset includes the following variables in a GenStat file: satisfaction: a score rating the overall satisfaction of the order; speed: a score rating the delivery speed of the order. A market researcher tries to investigate whether the delivery speed of an order can be used to predict the customer's overall satisfaction, using simple linear regression. I a) The market researcher decided to fit a simple linear regression model for satisfaction on speed. The following is the GenStat output from fitting this model, denoted by Model A. (One value has been deleted and replaced by *****.)

The following statistics represent weekly salaries at a construction company. Mean $620 First quartile $485 Median $540 Third quartile $600 Mode $535 94th percentile $683 The most common salary is $ The salary that half the employees' salaries surpass is $ The percent of employees' salaries that surpassed $600 is The percent of employees' salaries that were less than $485 is %. The percent of employees' salaries that surpassed $683 is %. If the company has 100 employees, the total weekly salary of all employees is $ %.

A social media app is conducting a study on the amount of time users spend on the app. They collect the following variables. Age Years: How old they are in years? Income: Monthly Income Location: What country do they live in? Device: Do they use an iPhone, Samsung, other? Service: Who provides their mobile phone service? For example: T-Mobile, At&t, Verizon, ect Hours: How many hours do they spend on the app per week. A) Which variable could the research construct a one proportion z-interval for? B) The social media app just launched a new algorithm that suggest content in an effort to increase the amount of time the user spends on the app. The researchers want to use the survey results to see if there is statistically significant evidence that on average users spend more than 10 hours per week on the social media app. The researchers found in their sample of 44 users, the mean hours spent on the app is 10.5 hours with a standard deviation of 5.675 hours. Which type of hypothesis test…

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Government economic studies reveal that young adults, not middle-aged or older adults, are having the most difficult time in today’s economy. Although the nation’s labor market shows a decline in the unemployment rate, the percentage of young adults, ages 18 to 24, currently employed (54 percent) is at the lowest level since the government data collection began in 1948. If you were working for a national survey organization doing a general public survey of young adults and older adults, what topics and questions would you design into your survey to elaborate on this finding?

Considering yourselves to be observational units, explain why the following are not variables: Average amount of hours worked in the past 24 hours among students in our class. Proportion of students in our class who are first-generation college students Have left-handers read more Harry Potter books, on average, compared to right-handers?

Time Spent Studying and Social Media

Some research situations are summarized below. For each situation, identify all variables.Then, for each variable, note the level of measurement AND whether it is an independent or dependent variable.         a.Ahealth researcher is interested in studying patient compliance (whether or not patients take the medicine their doctor prescribes). She surveys 800 diabetic patients, and finds compliance to be linked to patient age, education, gender, and socioeconomic status. b. A market researcher is hired by Target to see how customers buying habits have changed before and after COVID.  The researcher studies how much each customer spent (in $s), how frequently they visited the website each month, how frequently they visited the store each month.  They report that, since March, customers are spending less, visiting the website more frequently, and shopping in person less frequently.

You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC

The director of surgery at a local hospital is interested in understanding his unit’s costs. An assistant collected data for the past 36 months on unit cost (labor, supplies, and so on) along with the number of procedures performed in the unit. The assistant analyzed the data using a spreadsheet program, and the following output was generated. Equation     Intercept                                                         $  1,006,000       Coefficient on procedures                         $              230 Statistical data        Correlation coefficient                                             0.518        R2                                                                                 0.268     The unit is planning to perform an average 18,5000 procedures per month for the coming year.   Required A: Use the regression output to write the surgical unit cost equation.   Surgical unit cost   = ____________ + __________ x Procedures   Required B: Based on the cost equation,…