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GarryVolchara [31]
3 years ago
5

Which substance is detected by a flame test?

Mathematics
2 answers:
Neko [114]3 years ago
8 0
I believe the correct answer is C: gas

QveST [7]3 years ago
7 0
D. metal 
Different metals give the flame different colors, giving it a flame test, would identify the presence of a metal. 
You might be interested in
5 times 2/8=
sergejj [24]

Answer:

STEP

1

:

           12

Simplify   ——

           1  

Equation at the end of step

1

:

    -15       k        5      

 (((————)+((8•—)•k))-————————-10k)+(12•k2))-5k)-12

    (k2)      2      (k3)(k2)

STEP

2

:

Equation at the end of step 2

    -15       k        5      

 (((————)+((8•—)•k))-————————-10k)+(22•3k2))-5k)-12

    (k2)      2      (k3)(k2)

STEP  

3

:

Equation at the end of step

3

:

    -15       k        5    

 (((————)+((8•—)•k))-——————-10k)+(22•3k2))-5k)-12

    (k2)      2      (k3)k2

STEP  

4

:

            5

Simplify   ——

           k3

Equation at the end of step

4

:

    -15       k       5  

 (((————)+((8•—)•k))-————-10k)+(22•3k2))-5k)-12

    (k2)      2      k3k2

STEP

5

:

           k

Simplify   —

           2

Equation at the end of step

5

:

    -15       k       5  

 (((————)+((8•—)•k))-————-10k)+(22•3k2))-5k)-12

    (k2)      2      k3k2

STEP  

6

:

           15

Simplify   ——

           k2

Equation at the end of step

6

:

    15        5  

 (((——)+4k2)-————-10k)+(22•3k2))-5k)-12

    k2       k3k2

5 0
3 years ago
Miss Wilson has spent $6 on breakfast using her debit card 5 mornings per week for the past 8 weeks. What is the change in Miss
zvonat [6]

Answer:

Step-by-step explanation:

240

3 0
4 years ago
Read 2 more answers
A clinical trial tests a method designed to increase the probability of conceiving a girl. In the study 400 babies were​ born, a
Masja [62]

Answer:

(a) 99% confidence interval for the percentage of girls born is [0.804 , 0.896].

(b) Yes​, the proportion of girls is significantly different from 0.50.

Step-by-step explanation:

We are given that a clinical trial tests a method designed to increase the probability of conceiving a girl.

In the study 400 babies were​ born, and 340 of them were girls.

(a) Firstly, the pivotal quantity for 99% confidence interval for the population proportion is given by;

                    P.Q. =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of girls born = \frac{340}{400} = 0.85

             n = sample of babies = 400

             p = population percentage of girls born

<em>Here for constructing 99% confidence interval we have used One-sample z proportion statistics.</em>

<u>So, 99% confidence interval for the population proportion, p is ;</u>

P(-2.58 < N(0,1) < 2.58) = 0.99  {As the critical value of z at 0.5% level

                                                    of significance are -2.58 & 2.58}  

P(-2.58 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 2.58) = 0.99

P( -2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.99

P( \hat p-2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.99

<u>99% confidence interval for p</u> = [\hat p-2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+2.58 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } }]

= [ 0.85-2.58 \times {\sqrt{\frac{0.85(1-0.85)}{400} } } , 0.85+2.58 \times {\sqrt{\frac{0.85(1-0.85)}{400} } } ]

 = [0.804 , 0.896]

Therefore, 99% confidence interval for the percentage of girls born is [0.804 , 0.896].

(b) <em>Let p = population proportion of girls born.</em>

So, Null Hypothesis, H_0 : p = 0.50      {means that the proportion of girls is equal to 0.50}

Alternate Hypothesis, H_A : p \neq 0.50      {means that the proportion of girls is significantly different from 0.50}

The test statistics that will be used here is <u>One-sample z proportion test</u> <u>statistics</u>;

                               T.S. = \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of girls born = \frac{340}{400} = 0.85

             n = sample of babies = 400

So, <u><em>the test statistics</em></u>  =  \frac{0.85-0.50}{\sqrt{\frac{0.85(1-0.85)}{400} } }

                                     =  19.604

Now, at 0.01 significance level, the z table gives critical value of 2.3263 for right tailed test. Since our test statistics is way more than the critical value of z as 19.604 > 2.3263, so we have sufficient evidence to reject our null hypothesis due to which <u>we reject our null hypothesis</u>.

Therefore, we conclude that the proportion of girls is significantly different from 0.50.

8 0
3 years ago
Can one of y’all help me please????
amid [387]

Answer:

1,0

Explanation:

Graphically, where the line crosses the x -axis, is called a zero, or root. Algebraically, a zero is an x value at which the function of x is equal to 0 . Linear functions can have none, one, or infinitely many zeros.

7 0
3 years ago
Adding school fairest 20% of the people are under 16 years old one third of the people remaining are teachers if there are 21 te
dedylja [7]
<span>In the fairest school 20% are below 16 years old
1/3 are teachers which is equals to = 21
Let’s start solving:
=> 1/3 of 100% = ( 100 / 3 = 33.33% )
thus 33.33% = 21
=> 21 x 3 = 63, is the total number of people in the school.
Let’s try solving the number of people below 16 years old
Then there are 20% of it:
=> 63 * .20 = 12.6
Thus, there are around 13 people who are 16 years old younger.</span>



4 0
4 years ago
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