Mathematics, 11.10.2019 19:30, naomicervero
In old town conyers, a two-mile taxi ride costs $5.00. a four-mile taxi ride costs $9.00. if x represents miles and y represents the cost in dollars($), write a linear model that represents the cost of a taxi ride
i really need
Answers: 3
Mathematics, 21.06.2019 16:20, tmantooth7018
The lengths of nails produced in a factory are normally distributed with a mean of 4.91 centimeters and a standard deviation of 0.05 centimeters. find the two lengths that separate the top 4% and the bottom 4%. these lengths could serve as limits used to identify which nails should be rejected. round your answer to the nearest hundredth, if necessary.
Answers: 3
Mathematics, 21.06.2019 16:30, melissapulido198
Ineed if you could explain and give me the answer you! this needs done
Answers: 1
Mathematics, 21.06.2019 17:30, 21villalobosjabez
Trent wants to buy 2 packs of trading cards for 3 dollars each. the trading card packs that trent normally buys tend to come in packs of 6, 10, 12, or 15 cards. after selecting 2 packs, trent found that the first pack of cards cost 25 cents per card, and the second pack cost 30 cents per card. trent uses this information to write the equations below in order to compare c, the number of cards in each pack.
Answers: 2
Mathematics, 22.06.2019 04:30, glocurlsprinces
Consider the linear model for a two-stage nested design with b nested in a as given below. yijk=\small \mu + \small \taui + \small \betaj(i) + \small \varepsilon(ij)k , for i=1,; j= ; k=1, assumption: \small \varepsilon(ij)k ~ iid n (0, \small \sigma2) ; \small \taui ~ iid n(0, \small \sigmat2 ); \tiny \sum_{j=1}^{b} \small \betaj(i) =0; \small \varepsilon(ij)k and \small \taui are independent. using only the given information, derive the least square estimator of \small \betaj(i) using the appropriate constraints (sum to zero constraints) and derive e(msb(a) ).
Answers: 2
In old town conyers, a two-mile taxi ride costs $5.00. a four-mile taxi ride costs $9.00. if x repre...
Mathematics, 02.10.2020 16:01
Mathematics, 02.10.2020 16:01