MBAd 6222 Data Analysis & Decisions Student ID: G The owner of an automobile dealership with a number of "satellite" salesrooms wants to determine whether people whose incomes are larger tend to buy more expensive automobiles. If so, the owner wants to use this information to determine which cars to offer potential customers in new areas where average income is known. The dealership owner wants to know the answer separately for two groups: those for whom this purchase will be the only family automobile and those for whom this purchase will be a second (or more) family automobile. A random sample of carbuyers was selected. Each record in the "Automobiles.txt" file corresponds to one customer who purchased a car, and consists of three data items: price, income, and whether this purchase will be the only family automobile ("Y" or "N"), in that order. Part I: Those for Whom This Will Be The Only Family Automobile: 1. Hypotheses Symbolic: In words: Ho: Ha: 2. Procedure: 3. Assumptions: 4. Assuption Tenability: 5. Results: n 1 Test Test Value d.f. Text accompanying the Results: 6. Implications: p-value Accept HA? Part II: Those for Whom This Will NOT Be The Only Family Automobile: 1. Hypotheses Symbolic: In words: Ho: Ha: 2. Procedure: 3. Assumptions: 4. Assuption Tenability: 5. Results: n 1 Test Test Value d.f. Text accompanying the Results: 6. Implications: p-value Accept HA? 31016 55809 Y 25990 70144 Y 30816 99528 Y 22835 63422 Y 34539 111865 Y 30521 76376 Y 36012 101139 Y 25853 53469 Y 27727 69324 Y 21696 49769 Y 31028 83486 Y 23227 73036 Y 25906 110144 Y 38367 116383 Y 25214 98622 Y 31003 48780 Y 31584 48835 Y 29435 55708 Y 32111 114721 Y 25205 67053 Y 25449 69762 Y 20000 40000 Y 30934 72050 Y 40000 117024 Y 36015 74896 Y 34764 57039 Y 33185 42665 Y 30219 105251 Y 28054 66755 Y 24901 52460 Y 28739 41638 Y 28322 92150 Y 26043 120000 Y 31829 105670 Y 21194 56183 Y 31410 55809 N 25752 70144 N 26525 99528 N 29344 63422 N 24883 111865 N 25112 76376 N 28488 101139 N 25610 53469 N 36363 69324 N 30405 49769 N 27335 83486 N 25482 73036 N 30154 110144 N 20000 116383 N 21092 98622 N 26992 48780 N 36592 48835 N 40000 55708 N 30414 114721 N 32965 67053 N 29971 69762 N 32890 40000 N 25309 72050 N 30070 117024 N 35408 74896 N 32206 57039 N 33263 42665 N 26725 105251 N 37216 66755 N 35399 52460 N 31417 41638 N 32868 92150 N 30063 120000 N 22973 105670 N 39590 56183 N