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miv72 [106K]
3 years ago
8

When marked price = $30 and discount = 15%

Mathematics
2 answers:
zhannawk [14.2K]3 years ago
7 0

Answer:

$29.85 the price is

Step-by-step explanation:

30-15÷100=29.85

algol [13]3 years ago
6 0
$25.5 is the price after the discount.
30*0.85=25.5
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The Johnson family ordered 2 cheese pizzas and 4 pepperoni from Pizza Hut for a college football watching party. They finished 1
Agata [3.3K]

Answer:

4 3/5

Step-by-step explanation:

you first do 1 plus 3 which equals 4 then do 2/5 plus 1/5 which equals 3/5

5 0
3 years ago
Assume that foot lengths of women are normally distributed with a mean of 9.6 in and a standard deviation of 0.5 in.a. Find the
Makovka662 [10]

Answer:

a) 78.81% probability that a randomly selected woman has a foot length less than 10.0 in.

b) 78.74% probability that a randomly selected woman has a foot length between 8.0 in and 10.0 in.

c) 2.28% probability that 25 women have foot lengths with a mean greater than 9.8 in.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}.

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 9.6, \sigma = 0.5.

a. Find the probability that a randomly selected woman has a foot length less than 10.0 in

This probability is the pvalue of Z when X = 10.

Z = \frac{X - \mu}{\sigma}

Z = \frac{10 - 9.6}{0.5}

Z = 0.8

Z = 0.8 has a pvalue of 0.7881.

So there is a 78.81% probability that a randomly selected woman has a foot length less than 10.0 in.

b. Find the probability that a randomly selected woman has a foot length between 8.0 in and 10.0 in.

This is the pvalue of Z when X = 10 subtracted by the pvalue of Z when X = 8.

When X = 10, Z has a pvalue of 0.7881.

For X = 8:

Z = \frac{X - \mu}{\sigma}

Z = \frac{8 - 9.6}{0.5}

Z = -3.2

Z = -3.2 has a pvalue of 0.0007.

So there is a 0.7881 - 0.0007 = 0.7874 = 78.74% probability that a randomly selected woman has a foot length between 8.0 in and 10.0 in.

c. Find the probability that 25 women have foot lengths with a mean greater than 9.8 in.

Now we have n = 25, s = \frac{0.5}{\sqrt{25}} = 0.1.

This probability is 1 subtracted by the pvalue of Z when X = 9.8. So:

Z = \frac{X - \mu}{s}

Z = \frac{9.8 - 9.6}{0.1}

Z = 2

Z = 2 has a pvalue of 0.9772.

There is a 1-0.9772 = 0.0228 = 2.28% probability that 25 women have foot lengths with a mean greater than 9.8 in.

5 0
4 years ago
Which of the following describes the transformation of the graph y = x2 in graphing y = -x2 - 5? reflect over the x-axis and shi
Allisa [31]
Let f(x) = x². Then
  y = -f(x) -5

The negative sign in front of f(x) means the graph is reflected across the x-axis. The addition of -5 means the graph is shifted down 5 units.

the 1st selection is an appropriate description.
6 0
3 years ago
Read 2 more answers
If a truck weighs 3 1/2 tons, how many pounds does it weigh?
Gennadij [26K]
1 ton is 2000 pounds your answer is 7000 pounds

Hope this helps
4 0
3 years ago
Alonso purchases a kayak for $2100. The sales tax is 7% of the cost of the kayak.
rosijanka [135]

Answer:

$2247

Step-by-step explanation:

2100+(2100*7/100)= 2100+147=2247

8 0
3 years ago
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