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3 years ago

Help plz!!!!!!!!! I need help please!!!

Mathematics

1 answer:

KengaRu [80]3 years ago

5 0

8. commutative property of multiplication
9. associative property of multiplication
10.Multiplicative Property of Zero
11.Identity Property of Multiplication
12. commutative property of addition
13.associative property of multiplication
14.Identity Property of Addition
15. commutative property of addition
16. commutative property of multiplication
17.associative property of addition
18.Identity Property of Multiplication
19.associative property of addition
20.Identity Property of Addition
21.Multiplicative Property of Zero
22.associative property of multiplication

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Please help for brainliest

finlep [7]

Answer:

8a : No because only the boys have a say and girls are part of the school to

8b: The question is random because it just asks it would be biased if it said what is your favorite sport fun basketball of boring soccer because it uses adjectives.

Hope this helps I just learned about it last year

Step-by-step explanation:

4 0

3 years ago

Each week, a cook purchases 12 pounds of butter. During the last year, the cook has paid as little as $23.04 and at much as $29.

Tatiana [17]

Each week, a cook purchased 12 LBS. of Butter:

During the Last year: (12 Months):

Cook Paid:

Little: $23.04

Much: $29.40, For Butter he or she purchased in a week:

Question: is: what is the Difference between, the Greatest price per pound, and the least price per pound of butter the cook paid within the last year?

EQUATION:

Least Paid / 12 =====> 23.04 /12

Most Paid / 12 ======> 29.40 / 12

Divide:

23.04 / 12 = 1.92 / LB

29.40 / 12 = 2.45 / LB

Now Subtract:

2.45 - 1.92

Answer ======> 0.53 is the difference, between the greatest price per round, and least price per round of butter the cook would have paid within the last year.

Hope that helps!!! : )

4 0

3 years ago

which shows a true conditional with a correctly identified hypothesis and conclusion. a. if its raining, then the humidity level

Degger [83]

The correct answer is:

D) if it's raining, then the humidity level is 100%; hypothesis: it is raining; conclusion: the humidity level is 100%.

Explanation:

The truth value of this conditional statement is true; if it is raining outside, that would mean the humidity level is 100%..

The hypothesis of a conditional statement is the "if" part. In this statement, what follows "if" is "it's raining"; this is the hypothesis.

The conclusion of a conditional statement is the "then" part. In this statement, what follows "then" is "the humidity level is 100%"; this is the conclusion.

8 0

3 years ago

Read 2 more answers

Based on 2017 sales, the six top-selling compact cars are the Honda Civic, Toyota Corolla, Nissan Sentra, Hyundai Elantra, Chevr

fgiga [73]

Answer:

Pvalue = 0.020335

X² = 14.99

CONCLUSION: THERE IS DIFFERENCE IN MARKET SHARES

Step-by-step explanation:

H0 : there is no difference in market shares

H1: there is difference in market shares

Chisquare (X²) = (observed - Expected)²/ expected

Honda Civic - 0.20 * 400 = 80 : (98-80)^2 /80 = 4.05

Toyota Corolla - 0.17 * 400 = 68 : (72-68)²/68 = 0.235

Nissan Sentra - 0.12 * 400 = 48 : (54-48)²/48 = 0.75

Hyundai Elantra - 0.10 *400 = 40 : (44-40)²/40 = 0.4

Chevrolet Cruze - 0.10 * 400 = 40 : (42-40)²/40 = 0.1

Ford Focus - 0.08 * 400 = 32 : (25-32)²/32 = 1.531

Others - 0.23 * 400 = 92 : (65-92)²/92 = 7.924

X² = (4.05+0.235+0.75+0.4+0.1+1.531+7.924) = 14.99

The obtain the Pvalue ;

We use the Pvalue from Chisquare calculator :

Pvalue(14.99, 0.05, df= 6) = 0.020335

Decision region :

Reject H0 ; if Pvalue < α

THERE IS DIFFERENCE IN MARKET SHARES

Market share differences:

* 98/400 = 0.245,

0.245-0.20 = 0.045

* 72/400 = 0.18,

0.18 - 0.17 = 0.01

* 54/400 = 0.135,

0.135 - 0.12 = 0.015

* 44/400 = 0.11,

0.11 - 0.10 = 0.01

* 42/400 = 0.105

0.105 - 0.10 = 0.005

* 25/400 = 0.0625

0.0625-0.08 = -0.0175

* 65/400 = 0.1625

0.1625 - 0.23 = -0.0675

5 0

3 years ago

Accountants at the Tucson firm, Larry Youdelman, CPAs, believed that several traveling executives were submitting unusually hi

77julia77 [94]

Answer:

a) $Y= 90 +46.50(5) +0.35 (340) =441.50$

b) The accountant should not question the voucher as the request is much higher than expected.

c) We can add the following variables

d) The percentage of variation in the trip cost that can be explained by the model = (0.64)^2 =0.4096 or 40.96%

A. Type of travel (air/car)

B. Gender of the executive (male/female)

The last option is not too important since we are analyzing the traveling executives not the type of business

Step-by-step explanation:

Part a

For this case we have the multiple regression model given by:

$Y= 90 +46.50 x_1 +0.35 x_2$

Where $x_1$ represent the number of days on the road and $x_2$ the distance traveled in miles.

And we want to find the expected amount from a 340-mile trip that took her out of town for 5 days, so we just need to replace x1= 5 and x2=340 and we got:

$Y= 90 +46.50(5) +0.35 (340) =441.50$

Part b

The expected value taking in count that x1 = 5 and y = 340 is:

$Y= 90 +46.50(55) +0.35 (340) =441.50$

And the difference from the obtained value is : 685-441.50=243.5

So then the correct answer would be:

The accountant should not question the voucher as the request is much higher than expected.

Part c

We can add the following variables

A. Type of travel (air/car)

B. Gender of the executive (male/female)

The last option is not too important since we are analyzing the traveling executives not the type of business

Part d

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

The coefficient of determination "is a measure used in statistical analysis that assesses how well a model explains and predicts future outcomes. It is indicative of the level of explained variability in the data set".

The percentage of variation in the trip cost that can be explained by the model = (0.64)^2 =0.4096 or 40.96%

6 0

3 years ago