Panda Motor Berhad is planning to launch a new car model. The company isplanning to execute an online advertisement campaign to generate substantialrevenues. To achieve the objective, the company is determined to assess whetherthe campaign's effectiveness will be dependent on a particular age group. Acustomer survey revealed the following.Table 1 Distribution of age group and online advertisement preference50 and over TotalUnder 2020-4040-50253056519590500Liked140Disliked60Total 200704011070301001. Conclude the finding by using the critical value and p-value approach.2. Explain the implications of the finding on the sales of new car models.

Answered: Panda Motor Berhad is planning to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The bookstore at IRSC would like to estimate the proportion of students who prefer electronic textbooks (eBooks) over printed textbooks (hard copies). A random sample of 30 students was surveyed. Their preferences are listed below. eBook eBook eBook eBook eBook eBook eBook eBook eBook eBook eBook eBook eBook hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy hard copy Determine the point estimate, ① and the sample standard deviation, S. Round the sample proportion to four decimal places and round the standard deviation to six decimal places, if necessary. Sp Using a 97% confidence level, determine the margin of error, E, and a confidence interval for the proportion of all students at the college who work prefer eBooks over printed textbooks. Report the confidence interval using interval notation. Report the solutions in percent form, rounded to two decimal places, if necessary.…
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?
Twenty-nine college students, identified as having a positive attitude about Mitt Romney as compared to Barack Obama in the 2012 presidential election, were asked to rate how trustworthy the face of Mitt Romney appeared, as represented in their mental image of Mitt Romney’s face. Ratings were on a scale of 0 to 7, with 0 being “not at all trustworthy” and 7 being “extremely trustworthy.” Here are the 29 ratings: 2.6 3.2 3.7 3.3 3.4 3.6 3.7 3.8 3.9 4.1 4.2 4.9 5.7 4.2 3.9 3.2 4.5 5.0 5.0 4.6 4.6 3.9 3.9 5.3 2.8 2.6 3.0 3.3 3.7 a 95% confidence interval for the mean rating. Is there significant evidence at the 5% level that the mean rating is greater than 3.5 (a neutral rating)?
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
A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased. In the local area there are three main retailers: W-Mart, Tag, and URToy. For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. 1. What kind of statistical test should be used to test the consumer group's research goal, assuming that the researcher wanted to use the 1-to-10 scale as a numerical interval measure? A. Repeated-measures t-test B. One-way Independent Measures ANOVA C. Repeated-measures ANOVA D. Independent-measures t-test 2. State the hypothesis that aims to test the consumer group’s research goal (i.e., what is H0 and HA).
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The Institute of Education Sciences measures the high school dropout rate as the percentage of 16- through 24-year-olds who are not enrolled in school and have not earned a high school credential. In 2009, the high school dropout rate was 8.1%. A polling company recently took a survey of 1000 people between the ages of 16 and 24 and found 6.5% of them are high school dropouts. The polling company would like to determine whether the dropout rate has decreased at a 5% significance level. reject HO we can conclude that the high school dropout rate has decreased reject HO we cannot conclude that the high school dropout rate has decreased do not reject HỒ we cannot conclude that the high school dropout rate has decreased do not reject HỒ we can conclude that the high school dropout rate has decreased
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…

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