The histogram below gives the number of days that a group of homes was on the market last year before they sold. desmos | Virginia | Standards of Learning Version 20 16 12 1-20 *21-40 *41-60 *61-80 81-100'91-120 main abc func RAD clear all Days on the Market a? |a| 7 8 9 4 5 sin Cos tan ans What percent of the homes were on the market for no more than 60 days? + 3. 2. 1. Frequency
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- Once QBA 362 final exam is done, it will be time to reward Professor Hong with a well-deserved vacation. As a state employee, professor Hong hasn’t seen a raise since... well, ever.Thus, an important criterion, in fact the most important criterion is to find an exoticregion that can be visited inexpensively. There are three states of nature that could impact costs in these five areas of interest. Professor Hong has determined the average cost per day to visit each region under each of the possible states of nature. This table, which should not be construed as actual vacation advice, appears below. (Remember they are costs. Lower is better. For example, the most optimistic case is the one with lowest cost.) Region Strong Dollar Middling Dollar Weak Dollar Eastern Europe 33 54 57 Southeast Asia 41 56 36 Australia 45 44 58 Galapagos Islands 37 35 26…A certain medication is supposed to contain a dosage of 250 mgper pill. A lab is quality testing the drug to determine if it contains the correctdosage, on average.A sample of 50 pills has average dosage 232 mg with standarddeviation 25 mg. At a 2% level of significance, perform the hypothesis test.choose the corect answer and give brief explaination, this simple question thats why i make it as one question PT. ABCD has factories in 2 locations, namely in New York and New Jersey. To test whether there is a difference in the daily productivity of the two factories, a sample of 20 days of production was taken from each factory. Then the hypothesis being tested is ... Ho: u1 = u2 vs Ha: u1 > u2 All of the above is true Ho: u1 = u2 vs Ha: u1 not the same as u2 Ho: u1 = u2 vs Ha: u1 < u2 Of a random sample of 64 businessmen, 48 were classified as "successful". If it is known that the population proportion is 0.70, then the standard error of the proportion estimator is 0.0772 0.8728 0.0572 0.0033
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