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3 years ago

HELPPPPPPPPPPPPPPPPPPPPPPPPPPPP

Mathematics

1 answer:

ivanzaharov [21]3 years ago

4 0

Consider
.. X = {1, 2, 3, 4}, x = 4
.. Y = {2, 3, 4, 5, 6}, y = 5, w = 3
The elements in X or Y (X ∪ Y) are {1, 2, 3, 4, 5, 6}, n = 6.
.. n = 6 = 4 + 5 - 3

Note that if we just add x and y, we count the common elements twice. In order to just count the common elements once, we need to subtract that count from the total of x and y.

selection B is appropriate.

Read more on mixture here:

brainly.com/question/24869423

#SPJ1

4 0

2 years ago

How many students will chos pepperoni

yawa3891 [41]

The answer will be 50%

4 0

3 years ago

Read 2 more answers

Joyce took out a small loan for $1,200. The interest on the loan was 10.5%, but she paid it off in just 18 months. How much did

jasenka [17]

Answer:

She paid back $192 in interest

Step-by-step explanation:

A = P(1+r)^n

P = $1,200

r = 10.5% = 0.105

n = 18 months = 18/12 = 1.5 years

A = 1,200(1+0.105)^1.5 = 1,200(1.105)^1.5 = 1,200×1.16 = 1,392

Amount = $1,392

Principal = $1,200

Interest = amount - principal = $1,392 - $1,200 = $192

7 0

3 years ago

A store originally purchased a refrigerator at a cost of $650.20 and marked it up 50%. After a few weeks, however, the store dis

Murrr4er [49]

Answer:

Step-by-step explanation:

Step one:

the original price of refrigerator = $650.20

the markup/raise is 50%

the new price after the raise is

= 50/100*650.20

=0.5* 650.20

=325.1

The raise is by $325.1

The new price is $325.1+ $650.20=$975.3

Step two:

there was a discount of 70%

so =(70/100)*975.3

=0.7*975.3

=682.71

The discounted price is $682.71

The new price is 975.3-682.71

=$292.59

7 0

3 years ago

According to a report from a business intelligence company, smartphone owners are using an average of 22 apps per month. Assume

Ira Lisetskai [31]

Answer:

0.4332 = 43.32% probability that the sample mean is between 21 and 22.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .