The following data represent the percent of owners of an electronic device that

Question

The following data represent the percent of owners of an electronic device that plan to purchase a replacement device within the next 12 months based on a survey of 1100 adults in a certain country. Complete parts (a) through (c) Click the icon to view the bar chart of the data. a) What percent of game console owners plan to buy a replacement device within the next 12 months? (b) If there are 250 million individuals who own a cell phone, how many expect to replace their phone within the next 12 months? (c) If the results of the survey were claimed to indicate that 7.9% of adults in this country who own digital cameras plan to replace their camera in the next 12 months, would you say this statement is descriptive or inferential? Why? A. The statement is descriptive, because the claim is stating what has been determined by the survey. B. The statement is inferential, because the survey results are unlikely to be similar to the results for the country's population. C. The statement is inferential, because the survey reports on a sample of the country's population. This claim requires an inference to the population. D. The statement is descriptive, because the survey sampled enough adults, n the country to be certain that its results apply to the population. Planned Electronic Device Replacement n

Explanation / Answer

(A)

   As per bar daigram, Percentage of game console owner plan to buy a replacement device within the next 12 months is 10.6%.

(B)

     As per bar daigram, Percentage of cell phone owner plan to buy a replacement device within the next 12 months is 14.8%.

Given that, lndividuals = 250 millions

then, individuals of cell phone = 14.8% of 250 million individuals

= (14.8*250)/100

= 37 millions

(C)

   Option C :

The statement is Inferential, because the survey reports on a sample of the country's population. This claim requires an inference to the population.

With inferential statistics, we are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think.

     

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