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ANTONII [103]
3 years ago
12

An algebra tile configuration. Only the Product spot is shown. 9 tiles are in the Product spot in 5 columns with 5 rows. First r

ow: 1 + x squared, 4 + x. Below the + x squared tile are 4 +x tiles. Which value is needed in the expression below to create a perfect square trinomial? x2+8x+______ 4 8 16 64
Mathematics
2 answers:
Zinaida [17]3 years ago
9 0

Answer:

A

Step-by-step explanation:

It's option A

andrezito [222]3 years ago
8 0

Answer:

The correct answer is 16 c.

Step-by-step explanation:

because i know

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Find the value of g(7) for the function below.
Yanka [14]

Answer: The correct answer is (A) - 60/7 :)

Step-by-step explanation: The answer is A because all of the other ones make absolutely no sense one bit at all...!

5 0
3 years ago
Gibbs Baby Food Company wishes to compare the weight gain of infants using its brand versus its competitor’s. A sample of 40 bab
Leviafan [203]

Answer:

z=\frac{(7.6-8.1)-0}{\sqrt{\frac{2.3^2}{40}+\frac{2.9^2}{55}}}}=-0.936  

The p value can be founded with this formula:

p_v =P(z  

Since the p value is higher than the significance level provided of 0.05 we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true mean for the Gibbs brand is significantly lower than the true mean for the competitor

Step-by-step explanation:

Information given

\bar X_{1}=7.6 represent the mean for Gibbs products

\bar X_{2}=8.1 represent the mean for the competitor

\sigma_{1}=2.3 represent the population standard deviation for Gibbs

\sigma_{2}=2.9 represent the sample standard deviation for the competitor

n_{1}=40 sample size for the group Gibbs

n_{2}=55 sample size for the group competitor

\alpha=0.05 Significance level provided

z would represent the statistic

Hypothesis to verify

We want to check if babies using the Gibbs brand gained less weight, the system of hypothesis would be:  

Null hypothesis:\mu_{1}-\mu_{2}=0  

Alternative hypothesis:\mu_{1} - \mu_{2}< 0  

The statistic would be given by:

z=\frac{(\bar X_{1}-\bar X_{2})-\Delta}{\sqrt{\frac{\sigma^2_{1}}{n_{1}}+\frac{\sigma^2_{2}}{n_{2}}}} (1)  

Replacing the info given we got:

z=\frac{(7.6-8.1)-0}{\sqrt{\frac{2.3^2}{40}+\frac{2.9^2}{55}}}}=-0.936  

The p value can be founded with this formula:

p_v =P(z  

Since the p value is higher than the significance level provided of 0.05 we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true mean for the Gibbs brand is significantly lower than the true mean for the competitor

5 0
3 years ago
What is the length of AB?
goblinko [34]

Answer:

the answer is 14 units

Step-by-step explanation:

you're welcome

7 0
2 years ago
0.249 in expanded form
nikklg [1K]
2.49×10^-1 is the answer
8 0
3 years ago
Which equation represents this statement : Kate weighs 3 times as much as Jen their total weight is 140 pounds how much does eac
Monica [59]
Kate weighs 105 and Jen weighs 35
3 0
3 years ago
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