Pregunta
The probability is 0.8577 . (Round to four decimal places as needed.)
(d) One consequence of the popularity of the Internet is that it is thought to reduce television watching. Suppose that a random sample of 35 individuals who consider themselves
to be avid Internet users results in a mean time of 1.91 hours watching television on a weekday. Determine the likelihood of obtaining a sample mean of 1.91 hours or less from a
population whose mean is presumed to be 2.35 hours.
The likelihood is . (Round to four decimal places as needed)
Get more help.
(d) One consequence of the popularity of the Internet is that it is thought to reduce television watching. Suppose that a random sample of 35 individuals who consider themselves
to be avid Internet users results in a mean time of 1.91 hours watching television on a weekday. Determine the likelihood of obtaining a sample mean of 1.91 hours or less from a
population whose mean is presumed to be 2.35 hours.
The likelihood is . (Round to four decimal places as needed)
Get more help.
Ask by Ortiz Pollard. in the United States
Dec 08,2024
Solución de inteligencia artificial de Upstudy
Respuesta verificada por el tutor
Responder
The likelihood of obtaining a sample mean of 1.91 hours or less from a population with a mean of 2.35 hours is approximately 0.0045.
Solución

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Como
The Deep Dive
To determine the likelihood of obtaining a sample mean of 1.91 hours or less from a population whose mean is 2.35 hours, you would typically use the z-score formula. The z-score can help you find out how many standard deviations away the sample mean is from the population mean. This is particularly useful when you have a sample size.
First, calculate the standard error (SE) which is derived from the population standard deviation (σ) divided by the square root of the sample size (n). Then, the z-score can be calculated as:
After calculating the z-score, you can refer to the z-table to find the corresponding probability to determine the likelihood.
For real-world application, understanding the likelihood in this context can help businesses, researchers, and marketers make informed decisions based on consumer behavior. For instance, if you’re a TV network executive, knowing these statistics could guide programming and advertising strategies by highlighting changing viewer habits influenced by Internet usage.
Another fun spin on this is to think of how probabilities like this can be used in various games of chance. From poker to sports betting, understanding the odds can significantly enhance your approach to the game. So, next time you’re playing cards, remember there’s a mathematical beauty behind those decisions based on likelihoods and probabilities!

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