Mathematics

Mathematics, 17.07.2019 06:40, raiindrxp

The probability distribution table shows the proportion of people living in the five different regions of a city. there are now 4200 residents in the city. how many live in the south region? a)4200 b)2100 c)672 d)263

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Mathematics, 15.07.2019 07:00, pierrezonra

The probability distribution table shows the proportion of people living in the five different regions of a city there are now 4200 residents in the city. how many live in the south region? photo attached

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Mathematics, 19.07.2019 16:30, jhenderson2024

The probability distribution table shows the proportion of people living in the five different regions of a city. there are now 4200 residents in the city. how many live in the south region? a)4200 b)2100 c)672 d)263

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Mathematics, 01.11.2019 04:31, TerronRice

Agovernment official is in charge of allocating social programs throughout the city of vancouver. he will decide where these social outreach programs should be located based on the percentage of residents living below the poverty line in each region of the city. he takes a simple random sample of 122 people living in gastown and finds that 25 have an annual income that is below the poverty line. use the sample data to compute a 95% confidence interval for the true proportion of gastown residents living below the poverty line.

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Mathematics, 01.11.2019 07:31, owenbarrows

Arecent study reported that 29% of the residents of a particular community lived in poverty. suppose a random sample of 200 residents of this community is taken. we wish to determine the probability that 33% or more of our sample will be living in poverty. complete parts (a) and (b) below. before doing any calculations, determine whether this probability is greater than 50% or less than 50%. why? the answer should be less than 50%, because the resulting z-score will be negative and the sampling distribution is approximately normal. the answer should be greater than 50%, because 0.24 is greater than the population proportion of 0.20 and because the sampling distribution is approximately normal. the answer should be less than 50%, because 0.24 is greater than the population proportion of 0.20 and because the sampling distribution is approximately normal. the answer should be greater than 50%, because the resulting z-score will be positive and the sampling distribution is approximately normal. calculate the probability that 24% or more of the sample will be living in poverty. assume the sample is collected in such a way that the conditions for using the clt are met. p (p ge 0.24) = (round to three decimal places as needed.)

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