Can someone please help me with this question

PLEASE HELP!!!!Create a scenario that leads to an inequality of the form ax + b > c. You can use any of the inequality symbol

Morgarella [4.7K]

A football team wants to by a football. The football costs $51. There are 11 members of the team. How much will each of the team members contribute to be able to purchase the football if they had $29 already.

Solution: Let the amount each team member contributes be x, then
11x + 29 ≥ 51
11x ≥ 51 - 29
11x ≥ 22
x ≥ 22/11
x ≥ 2

I.e. each team member must contribute at least $2 for them to be able to buy the football.

7 0

3 years ago

Find the mean absolute deviation for each set of data:

aivan3 [116]

Answer:

1) 1.8

2) 1.7

Step-by-step explanation:

(for part A)

Mean: 3 + 5 + 6 + 3 + 2 + 2 + 1 + 0 + 0 + 4 + 7 + 4 + 5 + 5 + 6 = 53/15 = 3.5

3.5 - 3 = 0.5

3.5 - 5 = 1.5

3.5 - 6 = 2.5

3.5 - 3 = 0.5

3.5 - 2 = 1.5

3.5 - 1 = 2.5

3.5 - 0 = 3.5

3.5 - 4 = 0.5

3.5 - 7 = 3.5

3.5 - 4 = 0.5

3.5 - 5 = 1.5

3.5 - 6 = 2.5

mean absolute deviation: 0.5 + 1.5 + 2.5 + 0.5 + 1.5 + 1.5 + 2.5 + 3.5 + 3.5 + 0.5 + 3.5 + 0.5 + 1.5 + 1.5 + 2.5 = 27.5/15 = 1.8

(part B)

Mean: -3 + -2 + -1 + 0 + 1 + 2 + 3 = 0/7 = 0

0 - (-3) = 3

0 - (-2) = 2

0 - (-1) = 1

0 - 0 = 0

0 - 1 = 1

0 - 2 = 2

0 - 3 = 3

mean absolute deviation: 3 + 2 + 1 + 0 + 1 + 2 + 3 = 12/7 = 1.7

3 0

3 years ago

How to turn a fraction to a real number

ohaa [14]

Answer:

Step 1: Find a number you can multiply by the bottom of the fraction to make it 10, or 100, or 1000, or any 1 followed by 0s. Step 2: Multiply both top and bottom by that number.

Step-by-step explanation:

3 0

3 years ago

A survey was conducted two years ago asking college students their top motivations for using a credit card. To determine whether

salantis [7]

Answer:

See explanation

Step-by-step explanation:

Solution:-

- A survey was conducted among the College students for their motivations of using credit cards two years ago. A randomly selected group of sample size n = 425 college students were selected.

- The results of the survey test taken 2 years ago and recent study are as follows:

Old Survey ( % ) New survey ( Frequency )

Reward 27 112

Low rate 23 96

Cash back 21 109

Discount 9 48

Others 20 60

- We are to test the claim for any changes in the expected distribution.

We will state the hypothesis accordingly:

Null hypothesis: The expected distribution obtained 2 years ago for the motivation behind the use of credit cards are as follows: Rewards = 27% , Low rate = 23%, Cash back = 21%, Discount = 9%, Others = 20%

Alternate Hypothesis: Any changes observed in the expected distribution of proportion of reasons for the use of credit cards by college students.

( We are to test this claim - Ha )

We apply the chi-square test for independence.

- A chi-square test for independence compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each other.

- We will compute the chi-square test statistics ( X^2 ) according to the following formula:

$X^2 = Sum [ \frac{(O_i - E_i)^2}{Ei} ]$

Where,

O_i : The observed value for ith data point

E_i : The expected value for ith data point.

- We have 5 data points.

So, Oi :Rewards = 27% , Low rate = 23%, Cash back = 21%, Discount = 9%, Others = 20% from a group of n = 425.

Ei : Rewards = 112 , Low rate = 96, Cash back = 109, Discount = 48, Others = 60.

Therefore,

$X^2 = [ \frac{(112 - 425*0.27)^2}{425*0.27} + \frac{(96 - 425*0.23)^2}{425*0.23} + \frac{(109 - 425*0.21)^2}{425*0.21} + \frac{(48 - 425*0.09)^2}{425*0.09} + \frac{(60 - 425*0.20)^2}{425*0.20}]\\\\X^2 = [ 0.06590 + 0.03132 + 4.37044 + 2.48529 + 7.35294]\\\\X^2 = 14.30589$

- Then we determine the chi-square critical value ( X^2- critical ). The two parameters for evaluating the X^2- critical are:

Significance Level ( α ) = 0.10

Degree of freedom ( v ) = Data points - 1 = 5 - 1 = 4

Therefore,

X^2-critical = X^2_α,v = X^2_0.1,4

X^2-critical = 7.779

- We see that X^2 test value = 14.30589 is greater than the X^2-critical value = 7.779. The test statistics value lies in the rejection region. Hence, the Null hypothesis is rejected.

Conclusion:-

This provides us enough evidence to conclude that there as been a change in the claimed/expected distribution of the motivations of college students to use credit cards.

6 0

4 years ago

10. **BONUS**

jeyben [28]

Answer:

B. x, y, ac

Step-by-step explanation:

variable

[ˈverēəb(ə)l]

NOUN

variables (plural noun)

an element, feature, or factor that is liable to vary or change.

"there are too many variables involved to make any meaningful predictions"

mathematics

a quantity which during a calculation is assumed to vary or be capable of varying in value.

computing

a data item that may take on more than one value during the runtime of a program.

astronomy

short for variable star.

(variables)

the region of light, variable winds to the north of the northeast trade winds or (in the southern hemisphere) between the southeast trade winds and the westerlies.

Variables

Dependent and independent variables are variables in mathematical modeling, statistical modeling and experimental sciences. Dependent variables receive this name because, in an experiment, their values are studied under the supposition or hypothesis that they depend, by some law or rule (e.g., by a mathematical function), on the values of other variables. Independent variables, in turn, are not seen as depending on any other variable in the scope of the experiment in question. In this sense, some common independent variables are time, space, density, mass, fluid flow rate, and previous values of some observed value of interest (e.g. human population size) to predict future values (the dependent variable).

5 0

3 years ago

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