What social media tools do marketers commonly​ use? Researchers surveyed marketers who commonly use an indicated social media tool. Surveyed were B2B​ marketers, marketers focusing primarily on attracting businesses, and B2C marketers, marketers targeting consumers. Suppose the survey was based on 500 B2B and 500 B2C marketers and yielded the results in the table below. For each social media​ tool, at the 0.05 level of​ significance, determine whether there is a difference between B2B marketers and B2C marketers in the proportion who used each social media tool. Social Media Tool    B2B    B2C A                                84%    91% B                                84%    76% C                                82 %   61% D                                39%    53% What is the​ p-value for the test​ statistic and interpretation? For Tool B determine the test statistic. What is Tool B p-value

Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2) Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was så = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Ho : μα ♦ Select your answer - Ha d + - Select your answer - b. Use a = = 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ◆ What is the p-value? (to 6 decimals) c.…

In a survey that asked individuals about their favorite styles of music, 37 replied rock, 27 said they preferred pop music, 14 stated they like classical music the most, and 3 individuals stated they preferred opera. Based on this data, what would be the mode? Why couldn’t the mean or median be used to describe this set of values?

The National Assessment of Educational Progress (NAEP) includes a mathematics test for eighth-grade students. Scores on the test range from 0 to 500. Demonstrating the ability to use the mean to solve a problem is an example of the skills and knowledge associated with performance at the Basic level. An example of the knowledge and skills associated with the Proficient level is being able to read and interpret a stem-and-leaf plot. In 2019, 147,400 eighth-graders were in the NAEP sample for the mathematics test. The mean mathematics score was x = 282. We want to estimate the mean score u in the population of all eighth-graders. Consider the NAEP sample as an 40. SRS from a Normal population with standard deviation o = O Macmillan Learning Information about the NAEP test can be found online at https://www.nationsreportcard.gov. If we take many samples, the sample mean varies from sample to sample according to a Normal distribution with mean equal to the unknown mean score u in the…

fill blanks underlines.

What social media tools do marketers commonly use? The “2015 Social Media Marketing Industry Report” by Social Media Examiner (socialmediaexaminer.com) surveyed marketers who commonly use an indicated social media tool.  Surveyed marketers who commonly use an indicated social media tool.  Surveyed were both B2B marketers, marketers that primarily target consumers.  Suppose the survey was based on 500B2B marketers and 500 B2C marketers and yielded the results in the following table below:   SOCIAL MEDIA TOOL BUSINESS FOCUS (B2B) (%) BUSINESS FOCUS (B2C) (%) FACEBOOK 88 96 TWITTER 83 77   For each social media tool, at the 0.05 level of significance, determine whether there is a difference between B2B marketers and B2C marketers in the proportion who used each social media tool. State the complete hypotheses (hypothesis null and hypothesis alternative for question (a) above

Cris Turlock owns and manages a small business in San Francisco, California. The business provides breakfast and brunch food, via carts parked along sidewalks, to people in the business district of the city. Being an experienced businessperson, Cris provides incentives for the four salespeople operating the food carts. This year, she plans to offer monetary bonuses to her salespeople based on their individual mean daily sales. Below is a chart giving a summary of the information that Cris has to work with. (A "sample" is a collection of daily sales figures, in dollars, from this past year for a particular salesperson.)   Groups Sample size Sample mean Sample variance Salesperson 1 143 204.8 2382.8 Salesperson 2 97 209.9 2501.3 Salesperson 3 53 218.3 2461.6 Salesperson 4 95 205.8 2373.9

In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results.   Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001   Average Bonus -0.0007216 0.0001481 -4,87 0.000       The correct null hypotheses for testing the regression coefficient of Trust Index (TI) is     βTI ≠ 0…