A market research company interviewed 700 consumers about their demographics, intention to buy a new mobile phone and brand preferences. From the respondents, 72% planned to buy a new mobile phone. From them, 54% purchased an Apple branded phone, while 13% of those that did not plan to buy a new mobile phone purchased an Apple branded phone. Present the probability tree for this problem and calculate all the joint probabilities.  What is the probability that a randomly selected respondent has purchased an Apple branded mobile phone? How many respondents purchased an Apple branded mobile phone?   What is the probability that a randomly selected respondent that did not plan to buy a new mobile phone ended up purchasing a new Apple branded phone?

Q: ABC Interactive survey stated that 25% of employees said that their company is loyal to them. Ten…

A:

Q: Of the patients at a cardiac rehabilitation centre, 37% lead a sedentary lifestyle and have had a…

A: 37% lead a sedentary lifestyle and have had a heart attack82% of the patients lead a sedentary…

Q: A zoo has a collection of 400 flamingos. 180 of these flamingos are red. One day, a fence blew down…

A: Given : A zoo has a collection of 400 flamingos. 180 of these flamingos are red.

Q: From the research conducted by a Cancer Research Institute, it has been found that 5 percent of male…

A: Number of male cancer patients = 50 Number of female cancer patients = 50 Total number of cancer…

Q: A survey reports that 53% of college students use Google as their search engine. If 100 students of…

A: From the provided information, Sample size (n) = 100 Probability (p) = 0.53 Now,

Q: Among the adults in a large city, 34% have a college degree. A simple random sample of 100 adults is…

A:

Q: A doctor preformed a study on 100 patients taking medication for the same illness. At the end of the…

A: Design of experiments

Q: Assume that the critic finds that 25 percent of the movies have positive comments about the plot, 40…

A: The event A is defined as the movies have positive comments about the plot, event B is defined as…

Q: Suppose that 84% of students in a college have a smart phone. If you select three students at…

A: sample size(n)=3 p=0.84 Let "x" be no.of students have a smart phone x~Binomial(n=3,p=0.84)…

Q: Charlie fills out six applications. What is the probability that none of the companies calls her for…

A: here given 28% chance of getting job interview if she fills out an application p =.28 q = 1-p = 0.72…

Q: Suppose the budget has the support of 54​% of the voters. What is the probability that the​…

A: The proportion of population in support follows normal distribution with mean 0.53 and standard…

Q: Six percent of American adults are considered millionaires. If 100 randomly selected adults are…

A: Here it is given that 6% of American adults are millionaire. We need to find the probability of 7 or…

Q: The probability that a school-grade student would drink water, fruit juice, and soda is 0.5, 0.3,…

A: We can select 6 students who will drink water from 15 students in 15C6 ways.  The probability for…

Q: Of the cartons produced by a​ company, 7​% have a​ puncture, 4​% have a smashed​ corner, and 1.1​%…

A: It was stated that the cartons produced by a​ company, 7​% have a​ puncture. The cartons produced by…

Q: According to the U.S. Census Bureau, 19.1% of U.S. households are in the Northeast. In addition,…

A: Introduction: Denote A as the event that a household in the country earns $75,000 per year or more,…

Q: When purchasing boards from a wood supplier, it has been documented that 44% of the boards that are…

A: Given that  Sample size n =300 Population proportion p=44%=0.44

Q: In a survey of 500 individuals, it was found that 60% of them prefer tea over coffee. Of those who…

A: Answer: To find the probability, we need to calculate the proportion of individuals who prefer tea…

Q: Of the cartons produced by a​ company, 10​% have a​ puncture, 8​% have a smashed​ corner, and 1.3​%…

A:

Q: Of the cartons produced by a​ company, 4​% have a​ puncture, 7​% have a smashed​ corner, and…

A: Given that, 4% have a puncture 7% have a smashed corner 1.3% have both a puncture and a smashed…

Q: Just before a referendum on a school​ budget, a local newspaper polls 357 voters to predict whether…

A: Given, n = 357 p = 53% = 0.53

Q: It has been estimated that 21% of Americans are smokers. If four American adults are chosen at…

A: Given that, proportion, p= 21%  p= 0.21 So q= 1-p= 1-0.21 = 0.79 And sample size is n= 4 So X~…

Q: what is the probability all three would be smokers?

A: Let , X be the number of smokers Here , X→B(n=3 , p=0.20) The probability mass function of X is ,…

Q: Suppose the prevalence of type II diabetes in a community is 36%. Researchers want to sample 16…

A: Suppose the prevalence of type II diabetes in a community is 36%. Researchers want to sample 16…

Q: In the fall of 2003, a magazine article reported that about 87% of adults drink milk. A local dairy…

A: Let X be the random variable for the number of people who said that they drink milk. The population…

Q: In a recent​ survey, it was found that the median income of families in country A was ​$58,000. What…

A: In a recent​ survey, it was found that the median income of families in country A was ​$58,000.

Q: Given a randomly select college student is interested in finance, what is the probability that this…

A: Let us define some events A : student majors in STEM. B : student majors in non-STEM E : student is…

Q: Supposed that Stephen is the quality control supervisor for a food distribution company.  A shipment…

A: We have given that  Success of probability p =13%=0.13 Number of trials n=10 X~binomial ( n ,p)

Q: In a recent survey, it was found that the median income of families in country A was $57,700. What…

A: Median: Median is the middle value of the observations in the distribution when the data values are…

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.