You work for a small market research company which specialises in doing the important work that high-flying investment bankers don’t know how to do. This week, you were tasked with researching whether or not there is evidence that the online shopping preferences in Australian states are associated with age.To perform this research, you purchased Australian mobile phone numbers and demographic data from a dodgy data broker (quite possibly from the 2022 Optus data breach). You called each of person and asked them to rate on a scale of 1 to 10 how likely they were to prefer online shopping over going to in-person stores.You label the mobile phone numbers by the state in which the owner resides and whether or not the owner is considered young (≤ 40 years of age) or old (>40 years old). You keep calling people until you have 10 observations in each age group from each Australian state and territory.The results are as follows:df |> group_by(state, age) |>  summarise(n = n(),            Mean = mean(preference),            SD = sd(preference)) |>  ungroup() |>   gt::gt() |>   gt::fmt_number(columns = 4:5, decimals = 1)state age n Mean SDACT old 10 3.4 3.0ACT young 10 6.4 1.9NSW old 10 4.4 2.2NSW young 10 5.5 2.8NT old 10 3.7 2.8NT young 10 5.7 2.9QLD old 10 1.8 2.8QLD young 10 6.0 2.1SA old 10 4.2 2.0SA young 10 4.3 2.5TAS old 10 3.1 2.7TAS young 10 6.8 2.5VIC old 10 4.7 2.4VIC young 10 8.0 2.3WA old 10 3.2 2.9WA young 10 6.9 2.4

The marketing manager for an electronics chain store wants information about the ages of its customers. Over the next two weeks, at each store location, 100 randomly selected customers are given questionnaires to fill out asking for information about age, as well as about other variables of interest.stratifiedconvenience    systematicsimple randomcluster

Maya surveyed the first 22 shoppers at the market.Is this sample of the shoppers at the market likely to be biased?yesnoSubmit

The marketing manager for a home mobility aids needed more information about the age profile of potential customers. The manager predicts that the average age of customers is greater than 70 years. A random sample of 25 customers is selected from various retirement villages and their age (in years) is recorded. This data is located in Sheet A of the Practice Data fileIs there sufficient evidence to support the manager’s claim? Use 0.05 level of significance.The hypothesis to test this claim is

Read this excerpt from a passage.     "Her purchase got me thinking about the early days of online shopping, when people were anxious about ordering merchandise from the Internet. What if the items never arrived? Was putting all my personal information online safe? Should I really disclose my credit card information to some unknown entity? Is this online company legitimate? And last but not least, who would buy something without seeing it first? But my grandmother’s transaction made it clear: online shopping has become as commonplace as brushing your teeth.     "As millions of consumers flock to online shopping, I wondered how and why people make the decision to shop online or in person. To get a better understanding of how e-commerce has affected our buying decisions, I decided to gain some insight from friends and family. The reviews were varied but insightful." Which of the following subjects will be compared in the rest of the passage? online shopping and brushing your teeth shopping online and shopping in person delivery to a home and delivery to a store prices of items online and prices of items in stores

A marketer that uses social media sites to engage potential customers is most likely targeting which demographic group?Multiple ChoiceGeneration ZGeneration XSilent GenerationMillennialsBaby Boomers