The following table (picture 1) shows the distribution of customers that go each day to a spa according to the spa’s owner. a buyer observed how many people actually went to the spa and came up with these numbers (picture 2): which data proves that this distribution is not a good model to represent the observations? a.] the total number of people observed was too small a sample. b.] the data observed for tuesday and saturday do not fit the model. c.] the values for each day are too far apart. d.] the data for monday and wednesday do not fit the model.

Total number of people who actually went to the spa from picture 2 are :

61+12+59+73+122+41 = 368

Percentage distribution over the week:

Monday = 15% , number of people are (rounding to whole numbers)

Tuesday = 7% , number of people are

Wednesday = 15%, people are

Thursday = 18%, people are

Friday = 30% , people are

Saturday = 15%, people are

Total people as per picture 1 = 55+25+55+66+110+55 = 366

Now, checking all the options the option that describes the situation will be option B -  The data observed for Tuesday and Saturday do not fit the model. because there is a large difference in the number of people. In rest options, the difference is not very large. So, B is the best possible answer.

wholesale price is the initial price before markup. retail price comes after the markup.

a price of 8 bucks that's marked up by 100%   is

formula: initial price + (percent markup in fraction/decimal)(initial price)

8+(1)(8)

8+8

16

retail price is $16.