IP Chegg Bb Module Take a Test Gabrielle Bur X C https:// /Student/PlayerTe aspx

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IP Chegg Bb Module Take a Test Gabrielle Bur X C https:// /Student/PlayerTe aspx est Id 124658643 www.mathxl.com EE Apps UF University of Florida:... D UF Registrar UF University of Florida: UF www.honors.ufl.edu D myUFL University of Florida... D STARS College Por... Agenda C MyMathLab Gabrielle Burch 1/19/16 8:41 PM Test: Chapter 7 Post-Test Time Remaining: 02:59:56 Submit Test This Question: 4 pts 1 of 5 (0 complete This Test: 18 pts possible Question Help HCH A report announced that the median sales price of new houses sold one year was $211,000, and the mean sales price was $272,600. Assume that the standard deviation of the prices is $80,000. Complete parts (a) through (d) below. but but (a) If you select samples of n 2, describe the shape of the sampling distribution of X Choose the correct answer below. O A. The sampling distribution will be approximately uniform O B. The sampling distribution will be approximately normal C C. The sampling distribution will depend on the specific sample and will not have a constant shape O D. The sampling distribution is skewed to the right, but less skewed to the right than the population (b) lf you select samples of n 00, describe the shape of the sampling distribution of X Choose the correct answer below. O A. The sampling distribution is skewed to the right, but lessed skew to the right than the population O B. The sampling distribution will be approximately uniform. O C. The sampling distribution will depend on the specific sample and will not have a constant shape O D. The sampling distribution will be approximately normal (c)If you select a random sample of n 100, what is the probability that the sample mean will be less than $300,000? The probability that the sample mean will be less than $300,000 is (Round to four decimal places as needed.) (d) If unl ICelert a rannnm camnlenf n nn what ic the nrnhahilitu that the camnle mean will he hetween so n nnn and soon nnn? Click to select your answer (s 9:41 PM 1/19/2016

Explanation / Answer

1)

the sample distrbituion will depend on the specific sample

2)

the sampling distribution will be aprox. normal

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