Chapter 11, Problem 11.18AC

A survey was conducted of two types of marketers. The first type being marketers that focus primarily on attracting business (B2B), and the second type being marketers that primarily target consumers (B2C). It was reported that 518 (88%) of B2B and 250 (61%) of B2C marketers commonly use a business social media tool. The study also revealed that 313 (53%) of B2B marketers and 243 (60%) of B2C marketers commonly use a video social media tool. Suppose the survey was based on 589 B2B marketers and 407 B2C marketers. Complete parts (a) through (c) below. Determine a conclusion. the null hypothesis. There of a difference between B2B marketers and B2C marketers in the proportion of the business social media tool. b. Find the p-value in (a) and interpret its meaning. p-value = (Type an integer or a decimal. Round to three decimal places as needed.) Interpret the p-value. If the proportion of B2B marketers that use the business social media tool the proportion of B2C marketers that use the…

A poll tracks the favorite sport of Americans who follow at least one sport. Results of the poll show that professional football is the favorite sport of 33% of Americans who follow at least one sport, followed by baseball at 15%, men's college football at 10%, auto racing at 6%, men's professional basketball at 5%, and ice hockey at 5%, with other sport at 26%. Consider a survey in which 344 college undergraduates who follow at least one sport were asked to identify their favorite sport produced the following results: Professional Football 113 Baseball 38 Men's College Football 47 Auto Racing 12 Men's Professional Basketball 8 Ice Other Hockey Sports Find the p-value. (Round your answer to four decimal places.) p-value = 19 107 Do college undergraduate students differ from the general public with regard to their favorite sports? Use α = 0.05. State the null and alternative hypotheses. O Ho: Undergraduate students do not differ from the general public with regard to their favorite…

A poll tracks the favorite sport of Americans who follow at least one sport. Results of the poll show that professional football is the favorite sport of 33% of Americans who follow at least one sport, followed by baseball at 15%, men's college football at 10%, auto racing at 6%, men's professional basketball at 5%, and ice hockey at 5%, with other sport at 26%. Consider a survey in which 344 college undergraduates who follow at least one sport were asked to identify their favorite sport produced the following results: Professional Football 112 Baseball 37 Men's College Football 48 Auto Racing 12 Men's Professional Basketball 7 Ice Hockey 18 Find the p-value. (Round your answer to four decimal places.) p-value = Other Sports 110 Do college undergraduate students differ from the general public with regard to their favorite sports? Use α = 0.05. State the null and alternative hypotheses. OH: The population proportion concerning favorite sport is the same for undergraduate students and…

A researcher is interested in examining whether the location that a person lives is related to the number of hours that they spend on the internet each week.  The researcher collected data from a sample of 30 participants who were classified in one of three groups: (1) 10 people who live in an urban setting, (2) 10 people who live in a suburban setting, and (3) 10 people who live in a rural setting.  Each participant reported the number of hours they spend on the internet in a typical week (the dependent variable).  The researcher found the following descriptive statistics: Urban participants reported an average of 8.9 hours of internet use per week with a standard deviation of 2.77. Suburban participants reported an average of 12.7 hours of internet use per week with a standard deviation of 4.88. Rural participants reported an average of 9.8 hours of internet use per week with a standard deviation of 2.82.   Using the data that was collected, the researcher found the following: The…

A researcher is interested in examining whether the location that a person lives is related to the number of hours that they spend on the internet each week.  The researcher collected data from a sample of 30 participants who were classified in one of three groups: (1) 10 people who live in an urban setting, (2) 10 people who live in a suburban setting, and (3) 10 people who live in a rural setting.  Each participant reported the number of hours they spend on the internet in a typical week (the dependent variable).  The researcher found the following descriptive statistics: Urban participants reported an average of 8.9 hours of internet use per week with a standard deviation of 2.77. Suburban participants reported an average of 12.7 hours of internet use per week with a standard deviation of 4.88. Rural participants reported an average of 9.8 hours of internet use per week with a standard deviation of 2.82.   Using the data that was collected, the researcher found the following: The…

A survey was conducted of two types of marketers. The first type being marketers that focus primarily on attracting business​ (B2B), and the second type being marketers that primarily target consumers​ (B2C). It was reported that 518 ​(88​%) of B2B and 246​(59​%) of B2C marketers commonly use a business social media tool. The study also revealed that 301​(51​%) of B2B marketers and 248​(59​%) of B2C marketers commonly use a video social media tool. Suppose the survey was based on 590 B2B marketers and 420 B2C marketers. Complete parts​ (a) through​ (c) below.   At the 0.05 level of​ significance, is there evidence of a difference between B2B marketers and B2C marketers in the proportion that commonly use the business social media​ tool? Let population 1 correspond to B2B marketers and population 2 correspond to B2C marketers. Choose the correct null and alternative hypotheses below.     A.H0​:π1=π2 H1​: π1≠π2   BH0​:π1≥π2 H1​:π1<π2   C.H0​:π1≤π2 H1​:π1>π2…

Is it possible to predict the annual number of business bankruptcies by the number of firm births (business starts) in the United States? The following data published by the U.S. Small Business Administration, Office of Advocacy, are pairs of the number of business bankruptcies (1,000s) and the number of firm births (10,000s) for a six-year period. Business Bankruptcies (1,000) 34.3 Firm Births (10,000) 58.1 35.0 55.4 38.5 57.0 40.1 58.5 35.5 57.4 37.9 58.0 i) Based on the output given, use these data to develop the equation of the regression model to predict the number of business bankruptcies by the number of firm births. ii) Explain the values of r and r. iii) Predict the number of business bankruptcies if the number of firm births is 54.0 (10,000s). iv) Do the data support the existence of a linear relationship between the number of firm births and the number of business bankruptcies? Test using a = 0.05. OUTPUT Model Summary Std. Error of the Estimate Adusted R Model R R Square…

Suppose a study is conducted using only Boeing 737s traveling 800Kms on comparable routes during the same season of the year. Can the number of passengers predict the cost of flying such routes? It seems logical that more passengers result in more weight and more baggage, which could, in turn, result in increased fuel consumption and other costs. Suppose the data displayed in the table below are the costs and associated number of passengers for twelve 800-kms commercial airline flights using Boeing 737s during the same season of the year. We will use these data to develop a regression model to predict cost by number of passengers. A plot of the data collected is shown in Figure 3. Cost 600 550 500 450 400 350 300 5 6 6 7 7 8 Number of Passengers 8 9 9 10 Figure 3: Scatter plot of number of passengers on the x-axis and Cost on the y-axis. a) Describe the relationship between number of passengers and Cost based on Figure 3.

In 1993 approximately 62.1 million Americans suffered injuries, as reported by the National Center for Health Statistics in Vital and Health Statistics. More males (33.4 million) were injured than females (28.7 million). Those statistics do not tell us whether males and females tend to be injured in similar circumstances. One set of categories commonly used for accident circumstances. One set of categories commonly used for accident circumstance is "while at work," "home", "motor vehicle", and "other". A random sample of accident reports gave the data in contingency table below. Male Female While at work 19 24 27 Home 14 Motor Vehicle 26 Other At the 5% significance level, do the data provide sufficient evidence to conclude that an association exists between accident circumstances and sex? Type in Canvas the grand total. 35