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AURORKA [14]
3 years ago
10

What is Probability?​

Mathematics
1 answer:
nataly862011 [7]3 years ago
3 0
Probability is about estimating or calculating how likely or 'probable' something is to happen.
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2. 2(x+1.25) = 3.5
dangina [55]

Answer:

x = 0.5

Step-by-step explanation:

Given

2(x + 1.25) = 3.5 ← divide both sides by 2

x + 1.25 = 1.75 ( subtract 1.25 from both sides )

x = 0.5

8 0
4 years ago
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2. Multiply and simplify: (x - 2)(2x + 3)<br> Answer
inysia [295]

Step-by-step explanation:

(x - 2)(2x + 3)

=2x²+3x-4x-6

=2x²-x-6

8 0
3 years ago
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what is three and sixty-tow thousandths rounded to the nearest hundredth and to the nearest whole number
vitfil [10]
Round 2 from the 6 and then your answer will  be 360,000.
7 0
3 years ago
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If you worked for 6 days for a total of 67.8 hours. If I worked the same number of hours each day, how many hours did I work in
Hunter-Best [27]
Hi there!

To solve this problem, we need to divide 67.8 by 6 to find the amount of hours each day. 

67.8 / 6 = 11.3

You worked 11.3 hours each day. 

Hope this helps!
8 0
3 years ago
A hypothesis test is conducted at the .05 level of significance to test whether or not the population correlation is zero. If th
finlep [7]

Answer:

Th computed value of the test statistic is 3.597

Step-by-step explanation:

The null and the alternative hypothesis is as follows:

Null Hypothesis:

\mathbf{H_o:} the population correlation coefficient is equal to zero

\mathbf{H_a:} the population correlation coefficient is not equal to zero

The test statistics for Pearson correlation coefficient is thus computed as :

t =\dfrac{r \sqrt{(n-2)}} { \sqrt{(1-(r)^2)} }

where;

r = correlation coefficient = 0.60

n = sample size = 25

So;

t =\dfrac{0.60 \sqrt{(25-2)}} { \sqrt{(1-(0.60)^2)} }

t =\dfrac{0.60 \sqrt{(23)}} { \sqrt{(1-0.36} }

t =\dfrac{0.60 *4.796} {0.8}

t = 3.597

Comparing to a critical value of t (23 degrees of freedom two-tailed value) = 2.069

Decision Rule:

Since computed value of t is greater than the critical value of t; We reject the null hypothesis and accept the alternative hypothesis.

Conclusion:

We conclude that the population correlation coefficient significantly differs from 0 at 5% (0.05) level of significance.

6 0
4 years ago
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