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frez [133]
2 years ago
15

1. Convert. Simplify your answer and write it as a proper fraction or as a whole or as a mixed number.

Mathematics
1 answer:
velikii [3]2 years ago
4 0

Answer:

4 ounces = 1/4 lbs (pounds) 1/3 of 66 is 22

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Please guys this is easy, I need help ASAP! (Giving brainliest)!
jasenka [17]

Answer:

4a. 13

4b. -4

Step-by-step explanation:

2x-6/5 = 4 (Muti each side by 5)

2x-6 = 20

2x = 26 (Divide each side by 2)

x = 13

7- 2x/4 = 9

-2x/4 = 2 (Muti each side by 4)

-2x = 8 (Divide each side by -2)

x = -4

5 0
2 years ago
Translate the given relationship of two quantities into a variation statement. ​
Hunter-Best [27]

Answer:

Not sure

Step-by-step explanation:

7 0
3 years ago
I need help and please explain to me how you got the answer
maksim [4K]

Answer:

B

Explanation:

7 0
2 years ago
Twenty-five students from Harry High School were accepted at Magic University. Of those students, 10 were offered athletic schol
Taya2010 [7]

Answer:

Step-by-step explanation:

Part A

For Athletic scholarship,

Mean = (16 + 24 + 20 + 25 + 24 + 23 + 21 + 22 + 20 + 20)/10 = 21.5

Standard deviation = √(summation(x - mean)²/n

n = 10

Summation(x - mean)² = (16 - 21.5)^2 + (24 - 21.5)^2 + (20 - 21.5)^2 + (25 - 21.5)^2 + (24 - 21.5)^2 + (23 - 21.5)^2 + (21 - 21.5)^2 + (22 - 21.5)^2 + (20 - 21.5)^2 + (20 - 21.5)^2 = 64.5

Standard deviation = √64.5/10 = 2.54

For non athletic scholarship,

Mean = (23 + 25 + 26 + 30 + 32 + 26 + 28 + 29 + 26 + 27 + 29 + 27 + 22 + 24 + 25)/15 = 26.6

n = 15

Summation(x - mean)² = (23 - 26.6)^2 + (25 - 26.6)^2 + (26 - 26.6)^2 + (30 - 26.6)^2 + (32 - 26.6)^2 + (26 - 26.6)^2 + (28 - 26.6)^2 + (29 - 26.6)^2 + (26 - 26.6)^2 + (27 - 26.6)^2 + (29 - 26.6)^2 + (27 - 26.6)^2 + (22 - 26.6)^2 + (24 - 26.6)^2 + (25 - 26.6)^2 = 101.6

Standard deviation = √101.6/15 = 2.6

This is a test of 2 independent groups. The population standard deviations are not known. it is a two-tailed test. Let 1 be the subscript for scores of athletes and 2 be the subscript for scores of non athletes.

Therefore, the population means would be μ1 and μ2

The random variable is x1 - x2 = difference in the sample mean scores of athletes and non athletes.

We would set up the hypothesis.

The null hypothesis is

H0 : μ1 = μ2 H0 : μ1 - μ2 = 0

The alternative hypothesis is

H1 : μ1 ≠ μ2 H1 : μ1 - μ2 ≠ 0

Since sample standard deviation is known, we would determine the test statistic by using the t test. The formula is

(x1 - x2)/√(s1²/n1 + s2²/n2)

From the information given,

x1 = 21.5

x2 = 26.6

s1 = 2.54

s2 = 2.6

n1 = 10

n2 = 15

t = (21.5 - 26.6)/√(2.54²/10 + 2.6²/15)

t = - 4.65

The formula for determining the degree of freedom is

df = [s1²/n1 + s2²/n2]²/(1/n1 - 1)(s1²/n1)² + (1/n2 - 1)(s2²/n2)²

df = [2.54²/10 + 2.6²/15]²/[(1/10 - 1)(2.54²/10)² + (1/15 - 1)(2.6²/15)²] = 1.2008/0.1039

df = 12

We would determine the probability value from the t test calculator. It becomes

p value = 0.00056

Since alpha, 0.1 > than the p value, 0.00056, then we would reject the null hypothesis.

Therefore, these data provide convincing evidence of a difference in ACT scores between athletes and nonathletes.

Part B

The formula for determining the confidence interval for the difference of two population means is expressed as

Confidence interval = (x1 - x2) ± z√(s²/n1 + s2²/n2)

For a 90% confidence level, the z score from the normal distribution table is 1.645

x1 - x2 = 21.5 - 26.6 = - 5.1

√(s1²/n1 + s2²/n2) = √(2.54²/10 + 2.6²/15) = 1.05

The confidence interval is - 5.1 ± 1.05

This analysis provides evidence that the mean scores for non athletes is higher than the mean scores for athletes, and that the difference between means in the population is likely to be between 4.05 and 6.15

4 0
3 years ago
. If Henry plays both games conservatively (CC), find the probability that Henry will earn
larisa86 [58]

Answer:

a)  2/2 + 2/2 = 2

b)  2/2 + 1/2  = 3/2

c)  2/2 + 0/2  = 1

d)  0/2 + 0/2 = 0

Step-by-step explanation:

a) 2 points :  2/2 + 2/2 = 2    

            if henry wins both games than we get  probability =2

b) 1  1/2 or 3/2 :  2/2 + 1/2 = 3/2

             if henry wins one game and tie another game  we get probability =3/2

c) 1 point:  2/2 + 0/2 = 1

              if henry wins one game and loose second game, we get                                                       probability 1

d) 0 points: 0/2 + 0/2 = 0

                 if henry loose both games we get probability 0

4 0
3 years ago
Read 2 more answers
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