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Marta_Voda [28]
3 years ago
13

Do vegetarians eat animal crackers?

Mathematics
2 answers:
mr Goodwill [35]3 years ago
8 0

Answer:

Good question. Maybe.

Step-by-step explanation:

Maybe they eat in secret.

Just Don't tell them it's an animal and they will eat it.

vovikov84 [41]3 years ago
6 0

Answer:

yes

Step-by-step explanation:

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One pound of tomatoes costs $1.59.One pound of bananas costs $1.87. How much more do 5 pounds of tomatoes costs than 2 pounds of
Bad White [126]

when you multiply $1.59 by 5 you get $7.95

when you multiply $1.87 by 2 you get $4.74

so when you subtract them you get $3.21

3 0
3 years ago
24x3 + 18x2 - 6x <br>Factor Polynomials Completely​
andreev551 [17]
You answer for 24x3+18x2-6x would be 102x
8 0
3 years ago
Kidney beans costs $1.13 per kilogram. What equation shows the relationship between total cost (t), price (p), and kilograms pur
sukhopar [10]
Total cost = price per kilogram• how many kilograms were purcest
t= p•k
t= 1.13•k
7 0
4 years ago
The length of the box is 2x - 2 and the width is x - 5. Find the perimeter. (HINT: p= 2L + 2W) Choose one.
trasher [3.6K]

Answer:

Option D: 6x-14 is the correct answer.

Step-by-step explanation:

Given that:

Length of the box = L = 2x-2

Width of the box = W = x-5

Perimeter is defined by the sum of length of all sides of the box.

Perimeter of the box = P = 2L + 2W

Perimeter of box = 2(2x-2) + 2(x-5)

Perimeter = 4x-4+2x-10

Perimeter = 6x-14

The perimeter of the box is 6x-14.

Hence,

Option D: 6x-14 is the correct answer.

6 0
3 years ago
Randomly selected 110 student cars have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly select
monitta

Answer:

1. Yes, there is sufficient evidence to support the claim that student cars are older than faculty cars.

2. The 98% confidence interval for the difference between the two population means is [1.432 years, 3.968 years].

Step-by-step explanation:

We are given that randomly selected 110 student cars to have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly selected 75 faculty cars to have ages with a mean of 5.3 years and a standard deviation of 3.7 years.

Let \mu_1 = <em>mean age of student cars.</em>

\mu_2   = <em>mean age of faculty cars.</em>

So, Null Hypothesis, H_0 : \mu_1 \leq \mu_2      {means that the student cars are younger than or equal to faculty cars}

Alternate Hypothesis, H_A : \mu_1>\mu_2      {means that the student cars are older than faculty cars}

(1) The test statistics that will be used here is <u>Two-sample t-test statistics</u> because we don't know about the population standard deviations;

                             T.S.  =  \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)} {s_p \times \sqrt{\frac{1}{n_1}+\frac{1}{n_2} } }   ~   t_n_1_+_n_2_-_2

where, \bar X_1 = sample mean age of student cars = 8 years

\bar X_2 = sample mean age of faculty cars = 5.3 years

s_1 = sample standard deviation of student cars = 3.6 years

s_2 = sample standard deviation of student cars = 3.7 years

n_1 = sample of student cars = 110

n_2 = sample of faculty cars = 75

Also, s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times s_2^{2} }{n_1+n_2-2} }  = \sqrt{\frac{(110-1)\times 3.6^{2}+(75-1)\times 3.7^{2} }{110+75-2} }  = 3.641

So, <u><em>the test statistics</em></u> =  \frac{(8-5.3)-(0)} {3.641 \times \sqrt{\frac{1}{110}+\frac{1}{75} } }  ~ t_1_8_3

                                     =  4.952    

The value of t-test statistics is 4.952.

Since the value of our test statistics is more than the critical value of t, so <u><em>we have sufficient evidence to reject our null hypothesis</em></u> as it will fall in the rejection region.

Therefore, we support the claim that student cars are older than faculty cars.

(2) The 98% confidence interval for the difference between the two population means (\mu_1-\mu_2) is given by;

98% C.I. for (\mu_1-\mu_2) = (\bar X_1-\bar X_2) \pm (t_(_\frac{\alpha}{2}_) \times s_p \times  \sqrt{\frac{1}{n_1}+\frac{1}{n_2} })

                                 = (8-5.3) \pm (2.326 \times 3.641 \times  \sqrt{\frac{1}{110}+\frac{1}{75} })

                                 = [2.7 \pm 1.268]

                                 = [1.432, 3.968]

Here, the critical value of t at a 1% level of significance is 2.326.

Hence, the 98% confidence interval for the difference between the two population means is [1.432 years, 3.968 years].

7 0
3 years ago
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