Math  /  Data & Statistics

Questiononline designer clothing marketplace purchases items from Kenneth Cole, Michael Kors and Vera Wang. The most recent purchases e shown here: \begin{tabular}{|c|c|c|c|} \hline Product & \begin{tabular}{c} Kenneth \\ Cole \end{tabular} & \begin{tabular}{c} Michael \\ Kors \end{tabular} & \begin{tabular}{c} Vera \\ Wang \end{tabular} \\ \hline Dresses & 51 & 37 & 10 \\ \hline Jeans & 75 & 71 & 11 \\ \hline \end{tabular} f one item is selected at random, find these probabilities, expressed as reduced fractions:
Part 1 of 3 (a) It was purchased from Kenneth Cole or it is a dress.
The probability that the item selected was purchased from Kenneth Cole or is a dress is 173255\frac{173}{255}.
Part: 1/31 / 3
Part 2 of 3 (b) It was purchased from Michael Kors or Vera Wang.
The probability that the item selected was purchased from Michael Kors or Vera Wang is

Studdy Solution

STEP 1

What is this asking? What's the chance we grab a Kenneth Cole item *or* a dress, and what's the chance we grab something from Michael Kors *or* Vera Wang? Watch out! Don't double-count the items that fit *both* descriptions!

STEP 2

1. Total Items
2. Kenneth Cole or Dress
3. Michael Kors or Vera Wang

STEP 3

Let's **add up** all the items to find the **total**!
We have dresses and jeans from three designers.
We're going to add all the numbers together!

STEP 4

51+37+10+75+71+11=25551 + 37 + 10 + 75 + 71 + 11 = 255 So there are a **whopping 255 items** in total!

STEP 5

How many items are from Kenneth Cole?
Let's see, 5151 dresses and 7575 jeans.
That's 51+75=12651 + 75 = 126 items.

STEP 6

How many dresses are there? 51+37+10=9851 + 37 + 10 = 98 dresses.

STEP 7

Now, some items are *both* Kenneth Cole *and* dresses.
We already counted those in both groups, so we need to subtract them once so we don't double-count.
There are 5151 Kenneth Cole dresses.

STEP 8

So, the number of items that are *either* Kenneth Cole *or* a dress (or both!) is 126+9851=173126 + 98 - 51 = 173.

STEP 9

The probability of picking one of these items is the number of these items divided by the total number of items: 173255\frac{173}{255}.
Woohoo!

STEP 10

How many items are from Michael Kors? 37+71=10837 + 71 = 108 items.

STEP 11

How many items are from Vera Wang? 10+11=2110 + 11 = 21 items.

STEP 12

Since there's no overlap between these designers (no item is from *both* Michael Kors *and* Vera Wang), we can just add them up: 108+21=129108 + 21 = 129 items.

STEP 13

The probability of grabbing a Michael Kors or Vera Wang item is the number of these items divided by the total number of items: 129255\frac{129}{255}.
We can simplify this fraction by dividing both the numerator and denominator by 3, which gives us 4385\frac{43}{85}.
Awesome!

STEP 14

(a) The probability of selecting an item from Kenneth Cole or a dress is 173255\frac{173}{255}. (b) The probability of selecting an item from Michael Kors or Vera Wang is 4385\frac{43}{85}.

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