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Ivenika
1 month ago
13

The employees of a company were surveyed on questions regarding their educational background (college degree or no college degre

e) and marital status (single or married). Of the 600 employees, 400 had college degrees, 100 were single, and 60 were single college graduates. The probability that an employee of the company is married and has a college degree is?
Mathematics
1 answer:
Svet_ta [12.7K]1 month ago
5 0

Answer:0.68

Step-by-step explanation:

We have

A total of 600 employees, among whom 400 possess college degrees, 100 are unmarried,

and 60 of them are single graduates.

This means that from the 100 singles, 60 are graduates, leaving 40 as single non-graduates.

Out of the 400 with degrees, 60 are unmarried graduates, indicating that 340 are married graduates.

Consequently, with 100 singles among 600, this results in 500 employees being married.

Thus, the probability of an employee being married with a college degree is

=\frac{Favourable outcome }{Total outcome}

P=\frac{340}{500}=0.68  

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max invests $6000 in a savings account for 3 years. the account pays compound interest at a rate of 1.5% per year for the first
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Answer:

2.1%

Step-by-step explanation:

The compound interest formula can be expressed as:

A=P(1+I)^n\\\\P-Principal \\A-amount\\i-compound \ interest \ rate

Starting with a Principal amount of $6000 and applying an interest rate of 1.5% for the first two years:

A=P(1+i)^n\\\\A_2=6000(1+0.015)^2\\\\A_2=6181.35

We calculate compound interest A_2 for one year at rate i, resulting in $6311.16:

A=P(1+i)^n, n=1, i=i, P=6181.35, A=6311.16\\\\6311.16=6181.35(1+i)^1\\\\\frac{6311.16}{6181.35}=(1+i)\\\\i=\frac{6311.16}{6181.35}-1\\\\i=0.02100

Thus, the interest rate for the third year is 2.1%

7 0
1 month ago
Read 2 more answers
Suma numerelor de forma a4b cu produsul cifrelor 24 este egala cu
AnnZ [12381]

Answer:

The correct response is: b)

Step-by-step explanation:

a4b=24, where a × 4 × b = 24 implies a × b = 6

The pairs of numbers with a product of 6 include: {1,6} and {2,3}

In base 10, a4b translates to 100a + 40 + b

Calculating gives us:

100×1+40+6=146

100×6+40+1=641

100×2+40+3=243

100×3+40+2=342

Summing these results yields: 146 + 641 + 243 + 342 = 1372

The correct answer is: b)

6 0
1 month ago
Three people toss a fair coin and the odd one pays for coffee. if the coins all turn up the same, they are tossed again. find th
lawyer [12517]

In the absence of a specific question posed, below are the potential inquiries along with their respective answers:

P(fewer than 4 tosses)
= P(one toss) + P(two tosses) + P(three tosses)
= (3/4) + (3/4)(1/4) + (3/4)(1/4)^2
= 0.984375


Expected value
= 1 / p
= 1 / (3/4)
= 4 / 3

Variance
= (1 - p) / p^2
= (1 - (3/4)) / (3/4)^2
= (1/4) / (9/16)
= 4 / 9

Standard deviation
= sqrt(Variance)
= sqrt(4 / 9)
= 2 / 3

8 0
1 month ago
The figure shows a kite inside a rectangle. Which expression represents the area of the shaded region? 2x2 4x2 6x2 8x2
lawyer [12517]
The area calculation for the shaded section, as seen in the attached diagram, involves subtracting the area of the kite from that of the rectangle. The area of the rectangle is calculated as (3x+x)*(x+x), which simplifies to 4x*2x, equating to 8x². The area of the kite is determined using the formula (1/2)*[d1*d2], where d1 and d2 represent the diagonals, specifically d1=4x and d2=2x. Therefore, the area of the kite becomes (1/2)*[4x*2x], leading to 4x². Consequently, the area of the shaded region can be computed as 8x²-4x², resulting in 4x². Thus, the solution is 4x².
5 0
1 month ago
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The Insure.com website reports that the mean annual premium for automobile insurance in the United States was $1,503 in March 20
PIT_PIT [12445]

Answer:

a) Null and alternative hypothesis

H_0: \mu=1503\\\\H_a:\mu< 1503

b) Point estimate d = -$78

c) Test statistic t = -2.438

P-value = 0.0113

Reject H0. This indicates that the average automobile premium in Pennsylvania is lower than in the nation.

Step-by-step breakdown:

This is a statistical test for the average population mean.

The hypothesis posits that car insurance in Pennsylvania is notably less expensive compared to the national average.

Accordingly, the null and alternative hypotheses are:

H_0: \mu=1503\\\\H_a:\mu< 1503

The significance level is set at 0.05.

The sample size is n=25.

The sample mean equates to M=1425.

A point estimate of the difference between the Pennsylvania mean premium and the national average can be computed using the sample mean:

d=M-\mu=1425-1503=-78

Given that the standard deviation of the population is unknown, we approximate it using the sample standard deviation, which is s=160.

The estimated standard error of the mean is determined with the formula:

s_M=\dfrac{s}{\sqrt{n}}=\dfrac{160}{\sqrt{25}}=32

Then, we can calculate the t-statistic as:

t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{1425-1503}{32}=\dfrac{-78}{32}=-2.438

The degrees of freedom for this sample size stand at:

df=n-1=25-1=24

This constitutes a left-tailed test, with 24 degrees of freedom and t=-2.438, rendering the P-value as (per a t-table):

\text{P-value}=P(t

As the P-value (0.0113) falls below the significance level (0.05), the results prove significant.

Thus, the null hypothesis obtains dismissal.

At a 0.05 significance level, there's sufficient evidence to assert that car insurance in Pennsylvania costs notably less than the national average.

8 0
1 month ago
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