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Gnom [1K]
2 years ago
10

The graph of the parent function f(x) = x2 is dashed and the graph of the transformed function g(x) = (x – h)2 is solid. Use the

slider to change the value of h. How does changing the value of h affect the vertex? If h = 3, the vertex shifts to . If h = –5, the vertex shifts to
Mathematics
2 answers:
Tju [1.3M]2 years ago
7 0

Answer:

3,0 and -5,0

Step-by-step explanation:

STALIN [3.7K]2 years ago
3 0
The graph of the parent function f(x<span>) = </span>x2<span> is dashed and the graph of the transformed function </span>g(x) = (x<span> – </span>h)2<span> is solid.

If h=3 the vertex shifts to (3,0). 

If h=-5 the vertex is shifted to (-5,0)

I hope this helps! Sorry no one got back to you in the past few days ):
</span>
You might be interested in
A study found that a driver’s reaction time A(x) to audio stimuli and his or her reaction time V(x) to visual stimuli (both in m
amid [387]

Answer:

The required inequality is 0.0001 x^2 - 0.089 x - 7.

Step-by-step explanation:

The given inequalities are

A(x) = 0.0051x^2 - 0.319x + 15

V(x)= 0.005x^2 - 0.23x + 22

where, x is the driver's age (in years), A(x) is driver’s reaction time to audio stimuli and V(x) is his or her reaction time to visual stimuli, 16 ≤ x ≤ 70.

We need to find an inequality that can be use to find the x-values for which A(x) is less than V(x).

A(x)

0.0051x^2 - 0.319x + 15< 0.005x^2 - 0.23x + 22

0.0051x^2 - 0.319x + 15- 0.005x^2 + 0.23x- 22

Combine like terms.

0.0001 x^2 - 0.089 x - 7

where, 16 ≤ x ≤ 70.

Therefore, the required inequality is 0.0001 x^2 - 0.089 x - 7.

5 0
2 years ago
Three assembly lines are used to produce a certain component for an airliner. To examine the production rate, a random sample of
nikitadnepr [17]

Answer:

a) Reject H₀

b) [0.31; 3.35]

Step-by-step explanation:

Hello!

a) The objective of this example is to compare if the population means of the production rate of the assembly lines A, B and C. To do so the data of the production of each line were recorded and an ANOVA was run using it.

The study variable is:

Y: Production rate of an assembly line.

Assuming that the study variable has a normal distribution for each population, the observations are independent and the population variances are equal, you can apply a parametric ANOVA with the hypothesis:

H₀ μ₁= μ₂= μ₃

H₁: At least one of the population means is different from the others

Where:

Population 1: line A

Population 2: line B

Population 3: line C

α: 0.01

This test is always one-tailed to the right. The statistic is the Snedecor's F, constructed as the MSTr divided by the MSEr if the value of the statistic is big, this means that there is a greater variance due to the treatments than to the error, this means that the population means are different. If the value of F is small, it means that the differences between populations are not significant ( may differ due to error and not treatment).

The critical region is:

F_{k-1;n-k; 1-\alpha } = F_{2;15; 0.99} = 6.36

If F ≥ 3.36, the decision is to reject the null hypothesis.

Looking at the given data:

F= \frac{MSTr}{MSEr}= 11.32653

With this value the decision is to reject the null hypothesis.

Using the p-value method:

p-value: 0.001005

α: 0.01

The p-value is less than the significance level, the decision is to reject the null hypothesis.

At a level of 5%, there is significant evidence to say that at least one of the population means of the production ratio of the assembly lines A, B and C is different than the others.

b) In this item, you have to stop paying attention to the production ratio of the assembly line A to compare the population means of the production ratio of lines B and C.

(I'll use the same subscripts to be congruent with part a.)

The parameter to estimate is μ₂ - μ₃

The populations are the same as before, so you can still assume that the study variables have a normal distribution and their population variances are unknown but equal. The statistic to use under these conditions, since the sample sizes are 6 for both assembly lines, is a pooled-t for two independent variables with unknown but equal population variances.

t=  (X[bar]₂ - X[bar]₃) - ( μ₂ - μ₃) ~t_{n_2+n_3-2}

Sa√(1/n₂+1/n₃)

The formula for the interval is:

(X[bar]₂ - X[bar]₃) ± t_{n_2+n_3-2; 1 - \alpha /2}* Sa\sqrt{*\frac{1}{n_2} + \frac{1}{n_3} }

Sa^{2} = \frac{(n_2-1)*S_2^2+ (n_3-1)*S_3^2}{n_2+n_3-2}

Sa^{2} = \frac{(5*0.67)+ (5*0.7)}{6+6-2}

Sa^{2} = 0.685

Sa= 0.827 ≅ 0.83

t_{n_2+n_3-2;1-\alpha /2}= t_{10;0.995} = 3.169

X[bar]₂ = 43.33

X[bar]₃ = 41.5

(43.33-41.5) ± 3.169 * *0.83\sqrt{*\frac{1}{6} + \frac{1}{6} }

1.83 ± 3.169 * 0.479

[0.31; 3.35]

With a confidence level of 99% you'd expect that the difference of the population means of the production rate of the assemly lines B and C.

I hope it helps!

8 0
2 years ago
Simplify (5b)(-3a). -35ab -15ab 2ab
Fofino [41]
(5b)(-3a)
= (5*(-3))(b*a) (combine like terms)
= -15ab

The final answer is -15ab~
3 0
2 years ago
Read 2 more answers
A baker uses 13 1/2 cups of flour to make bread. She uses 2 1/4 cups of flour to make each loaf. The baker sells 2/3 of the loav
ollegr [7]

Answer:

She sells 4 loaves of bread

Step-by-step explanation:

Lets explain how to solve the problem

→ A baker uses 13\frac{1}{2} cups of flour to make bread

→ She uses 2\frac{1}{4} cups of flour to make each loaf

From these information we can find the number of loaves of bread

she can make

∵ There are 13\frac{1}{2} cups of flour

∵ Each loaf of bread needs 2\frac{1}{4} cups of flour

∴ The number of loaves = 13\frac{1}{2} ÷ 2\frac{1}{4}

To divide two mixed numbers make them improper fractions and

change the division sign to multiplication sign and reciprocal the

fraction after the division sign

∵ 13\frac{1}{2} = \frac{(13)(2)+1}{2}

∴ 13\frac{1}{2} = \frac{27}{2}

∵ 2\frac{1}{4} = \frac{(2)(4)+1}{4}

∴ 2\frac{1}{4} = \frac{9}{4}

∴ The number of loaves = \frac{27}{2} × \frac{4}{9}

∴ The number of loaves = 6

<em>She can make 6 loaves</em>

→ The baker sells \frac{2}{3} of the loaves of bread that she makes

→ We need to find the number of loves of bread she sells

∵ She sells \frac{2}{3} of the loaves

∵ There are 6 loves

∴ The number of loaves she sells = 6 × \frac{2}{3} = 4

<em>She sells 4 loaves of bread</em>

7 0
2 years ago
A box has 6 beads of the same size, but all are different colors. Tania draws a bead randomly from the box, notes its color, and
kirill [66]

6 total beads

 1 is yellow

1 is blue

1/6 of getting a yellow

1/6 of getting a blue and

1/6 of getting a yellow again

1/6 * 1/6 * 1/6 = 1/216 probability

4 0
2 years ago
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