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goldenfox [79]
3 years ago
8

Every rational number is: (a) an integer (b) a real number (c) a natural number (b) a whole number​

Mathematics
2 answers:
grigory [225]3 years ago
6 0

Answer:

option C

<h2>A NATURAL NUMBER</h2>

Step-by-step explanation:

<h2>I HOPE IT'S HELP </h2><h3 />
mixer [17]3 years ago
3 0

Answer:

Option C

A Natural Number

Step-by-step explanation:

Every rational number is natural number

<em><u>-TheUnknownScientist</u></em>

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What are the domain and range of this function?<br><br> PLZ HELP ILL MARK AS BRAINLIEST!!!
Olenka [21]

Answer:

Domain {-5, -4, 1, 2, 4, 5}

Range {-4, -2, 1, 2, 4, 5}

Step-by-step explanation:

7 0
3 years ago
Simultaneous equations <br>3x + 2y= 13<br>x + 2y= -1
antoniya [11.8K]

Answer:

{x = 7  , y = -4

Step-by-step explanation:

Solve the following system:

{3 x + 2 y = 13 | (equation 1)

{x + 2 y = -1 | (equation 2)

Subtract 1/3 × (equation 1) from equation 2:

{3 x + 2 y = 13 | (equation 1)

{0 x+(4 y)/3 = (-16)/3 | (equation 2)

Multiply equation 2 by 3/4:

{3 x + 2 y = 13 | (equation 1)

{0 x+y = -4 | (equation 2)

Subtract 2 × (equation 2) from equation 1:

{3 x+0 y = 21 | (equation 1)

{0 x+y = -4 | (equation 2)

Divide equation 1 by 3:

{x+0 y = 7 | (equation 1)

{0 x+y = -4 | (equation 2)

Collect results:

Answer:  {x = 7  , y = -4

6 0
3 years ago
What percent of 2000 is 160?<br> Show work
ArbitrLikvidat [17]

Hello from MrBillDoesMath!

Answer:

.08%

Discussion:

Let the percent be denoted "p". Then

2000 * p% = 160 =>     ( as p% = p/100)

2000* p/100 = 160 =>

20p = 160 =>

p = 8 or .08%



Regards,  

MrB


5 0
3 years ago
Read 2 more answers
Given below is the odd-number function. Which of the following are equal to O(8)? 
dezoksy [38]
The answer would be B.
For these, you plug in 8 where there ia a variable. 2(8)-1=15
4 0
4 years ago
Read 2 more answers
A journalist reported that the average amount of time that a French person spends eating lunch at a restaurant is 22 minutes. Pe
maw [93]

Answer:

t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom and the pooled variance S^2_p is given by this formula:

\S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}

t=\frac{19 -22)-(0)}{4.095\sqrt{\frac{1}{8}+\frac{1}{7}}}=-1.416

Step-by-step explanation:

Data given

American: 21,17,17,20,25,16,20,16 (Sample 1)

French: 24,18,20,28,18,29,17 (Sample 2)

When we have two independent samples from two normal distributions with equal variances we are assuming that  

\sigma^2_1 =\sigma^2_2 =\sigma^2

And the statistic is given by this formula:

t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom and the pooled variance S^2_p is given by this formula:

S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}

This last one is an unbiased estimator of the common variance \sigma^2

The system of hypothesis on this case are:

Null hypothesis: \mu_1 = \mu_2

Alternative hypothesis: \mu_1 \neq \mu_2

Or equivalently:

Null hypothesis: \mu_1 - \mu_2 = 0

Alternative hypothesis: \mu_1 -\mu_2 \neq 0

Our notation on this case :

n_1 =8 represent the sample size for group 1

n_2 =7 represent the sample size for group 2

\bar X_1 =19 represent the sample mean for the group 1

\bar X_2 =22 represent the sample mean for the group 2

s_1=3.117 represent the sample standard deviation for group 1

s_2=5.0 represent the sample standard deviation for group 2

First we can begin finding the pooled variance:

S^2_p =\frac{(8-1)(3.117)^2 +(7 -1)(5.0)^2}{8 +7 -2}=16.770

And the deviation would be just the square root of the variance:

S_p=4.095

And now we can calculate the statistic:

t=\frac{19 -22)-(0)}{4.095\sqrt{\frac{1}{8}+\frac{1}{7}}}=-1.416

Now we can calculate the degrees of freedom given by:

df=8+7-2=13

And now we can calculate the p value using the altenative hypothesis:

p_v =2*P(t_{13}

So with the p value obtained and using the significance level assumed \alpha=0.1 we have p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 10% of significance we don't have significant differences between the two means.  

3 0
3 years ago
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