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skelet666 [1.2K]
3 years ago
15

Which choice is NOT a way to find 9 ÷ 4?

Mathematics
1 answer:
kumpel [21]3 years ago
5 0
D is wrong. D= 0.4 (roughly) A B and C are the same thing = 2.25 9 divided by 4=2.25 In math OF means TIMES (like multipling) and a fraction is dividing :) Hope this helps
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Help me answer this question please
Stella [2.4K]

ANSWER

{f}^{ - 1}  =\pm \sqrt{x + 1}

EXPLANATION

The given function is

f(x) =  {x}^{2}  - 1

Let

y =  {x}^{2}  - 1

Interchange x and y to get:

x=  {y}^{2}  - 1

Solve for y,

x + 1 =  {y}^{2}

Take square root of both sides to get,

\pm \sqrt{x + 1}  = y

This is the same as:

y =  \pm \sqrt{x + 1}

Therefore the inverse is

{f}^{ - 1}  =\pm \sqrt{x + 1}

3 0
3 years ago
A senior paid $3.47, $9.50 and $2.50 for lunch during a basketball tournament. What was the average amount he paid over three da
cestrela7 [59]

Answer:

The average amount he paid over 3 days is $15.47.

Step-by-step explanation:

4 0
2 years ago
What’s the slope intercept form of (2,5) and (0,1)
Travka [436]

Answer:

y=2x+1

Step-by-step explanation:

First you have to find the slope:

5-1/2 so 4/2 or 2

Then you write it in point-slope: (I used the point (0,1))

y-1=2x

Simplify than:

y=2x+1

8 0
3 years ago
A quality analyst of a tennis racquet manufacturing plant investigates if the length of a junior's tennis racquet conforms to th
Burka [1]

Answer:

Confidence interval : 21.506 to 24.493

Step-by-step explanation:

A quality analyst selects twenty racquets and obtains the following lengths:

21, 25, 23, 22, 24, 21, 25, 21, 23, 26, 21, 24, 22, 24, 23, 21, 21, 26, 23, 24

So, sample size = n =20

Now we are supposed to find Construct a 99.9% confidence interval for the mean length of all the junior's tennis racquets manufactured at this plant.

Since n < 30

So we will use t-distribution

Confidence level = 99.9%

Significance level = α = 0.001

Now calculate the sample mean

X=21, 25, 23, 22, 24, 21, 25, 21, 23, 26, 21, 24, 22, 24, 23, 21, 21, 26, 23, 24

Sample mean = \bar{x}=\frac{\sum x}{n}

Sample mean = \bar{x}=\frac{21+25+23+22+24+21+25+21+23+ 26+ 21+24+22+ 24+23+21+ 21+ 26+23+ 24}{20}

Sample mean = \bar{x}=23

Sample standard deviation = \sqrt{\frac{\sum(x-\bar{x})^2}{n-1}}

Sample standard deviation = \sqrt{\frac{(21-23)^2+(25-23)^2+(23-23)^2+(22-23)^2+(24-23)^2+(21-23)^2+(25-23)^2+(21-23)^2+(23-23)^2+(26-23)^2+(21-23)^2+(24-23)^2+(22-23)^2+(24-23)^2+(23-23)^2+(21-23)^2+(21-23)^2+(26-23)^2+(23-23)^2+(24-23)^2}{20-1}}

Sample standard deviation= s = 1.72

Degree of freedom = n-1 = 20-1 -19

Critical value of t using the t-distribution table t_{\frac{\alpha}{2} = 3.883

Formula of confidence interval : \bar{x} \pm t_{\frac{\alpha}{2}} \times \frac{s}{\sqrt{n}}

Substitute the values in the formula

Confidence interval : 23 \pm 1.73 \times \frac{1.72}{\sqrt{20}}

Confidence interval : 23 -3.883 \times \frac{1.72}{\sqrt{20}} to 23 + 3.883 \times \frac{1.72}{\sqrt{20}}

Confidence interval : 21.506 to 24.493

Hence Confidence interval : 21.506 to 24.493

3 0
3 years ago
Read 2 more answers
How to evaluate this question
Harlamova29_29 [7]
The answer is 16

Refer image for working :-

Drop comments if any doubt arises.

3 0
2 years ago
Read 2 more answers
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