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A market researcher wants to determine whether a new model of a personal computer that had been advertised on a​ late-ni

Posted: Wed Mar 09, 2022 8:32 am
by answerhappygod
A market researcher wants to determine whether a new model of a
personal computer that had been advertised on a​ late-night
talk show had achieved more​ brand-name recognition among
people who watched the show regularly than among people who did
not. After conducting a​ survey, it was found that
12​%
of all people both watched the show regularly and could
correctly identify the product.​ Also,
13​%
of all people regularly watched the show and
44​%
of all people could correctly identify the product. Define a
pair of random variables as shown below. Complete parts​ (a)
through​ (c)
A Market Researcher Wants To Determine Whether A New Model Of A Personal Computer That Had Been Advertised On A Late Ni 1
A Market Researcher Wants To Determine Whether A New Model Of A Personal Computer That Had Been Advertised On A Late Ni 1 (54.04 KiB) Viewed 28 times
A market researcher wants to determine whether a new model of a personal computer that had been advertised on a late-night talk show had achieved more brand-name recognition among people who watched the show regularly than arriong people who did not. After conducting a survey, it was found that 12% of all people both watched the show regularly and could correctly identify the product. Also, 13% of all people regularly watched the show and 44% of all people could correctly identify the product. Define a pair of random variables as shown below. Complete parts (a) through (c). X= 1 if regularly watch the show < =0 otherwise Y = 1 if product correctly identified Y=otherwise a. Find the joint probability function of X and Y O 1 Y 0 (Do not round) b. Find the conditional probability function of Y, given X =1, PLOI 1)-(Round to three decimal places as needed.) P(1/1) - (Round to three decimal places as needed.) c. Find and interpret the covariance between X and Y. CovIX,Y)-(Do not round.) Interpret the covariance O A. The covariance indicates that there is a negative association between watchers of a late-night talk show and brand-name recognition. OB. The covariance indicates that there is a positive association between watchers of a late-night talk show and brand-narne recognition.