Dynatashia has a list of items she needs to buy at the store. she has written down the items and the advertised prices as shown: hamburger – $3.99 per pound hamburger buns – $1.29 2-liter soda – 3 for $2.00 dynatashia buys 1.5 pounds of hamburger, 1 package of buns and 3 of the 2-liter bottles of soda. her receipt is shown below. 2-ltr soda 2@3/$2 $1.34 hambrg 1.5 [email protected] $5.99 hbuns [email protected] $1.69 2-ltr soda 1@3/$2 $0.67 determine if dynatashia's receipt is correct. a. yes, dynatashia's receipt is correct. b. no, dynatashia paid too much for soda. c. no, dynatashia paid too much for hamburger. d. no, dynatashia paid too much for buns.

D. No, Dynatashia paid too much for buns.

Step-by-step explanation:

We are given that,

The actual cost of the items are,

Items                                          Cost

Hamburger                         $3.99 per pound

Buns                                    $1.29 per packet

2-liter soda                          $2 per 3 bottle

As, she bought 1.5 pounds of hamburgers, 1 packet of buns and 3 bottles of 2-liter soda.

So, she has to pay,

For hamburger = 1.5 × 3.99 = $5.99

For buns = 1.29 × 1 = $1.29

For soda bottles = $2

But from the receipt, we see that she pays,

For hamburger = 1.5 × 3.99 = $5.99

For buns = 1.69 × 1 = $1.69

For soda bottles = 1.34 + 0.67 = $2

That is, she has to pay $1.29 for the packet of the buns but she paid $1.69 for the buns.

Hence, the receipt is not correct as Dynatashia paid too much for the buns.

so far i think you have the right thing going for you just remember soh cah toh

step-by-step explanation:

sine over hypotenuse

cosine   equals adjacent

tangent over hypotenuse

answer:   35 % is the probability of a late departure or an early arrival.

step-by-step explanation:

let l represents the late departure and e represents the early departure.

then, according to the question,

p(l) = 12 %,   p(e) = 27 % and = 4 %

and, we have to find out,

but, we know that,

which is the required equation that will use to find the probability of a late departure or an early departure.

therefore,   the probability of a late departure or an early arrival =   35 %