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3 years ago

Give. b(x) = |x + 4| what is b(-10)

Mathematics

2 answers:

lesantik [10]3 years ago

6 0

Answer:

Step-by-step explanation:

b(x) = |x + 4|

b(-10) = |-10 + 4|

-10 + 4 = -6

|-6| = 6

b(-10) = 6

hammer [34]3 years ago

3 0

Hey!

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Solution:

b(x) = |x + 4|

b(-10) = |-10 + 4|

b(-10) = |-6|

b(-10) = |6|

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When you see two lines next to a number, it mean the absolute value of that number. So if you have |-5| the absolute value is |5|.

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Answer:

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Hope This Helped! Good Luck!

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Answer correctly / explain a little.

Dvinal [7]

Answer:

B) 8,4 pounds

Step-by-step explanation:

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Step-by-step explanation:

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3 years ago

1/(√2+√3)-√4 pls explain i dont understand

rusak2 [61]

Hey there!

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1 year ago

Consider the following hypothesis test.H0:μ1−μ2=0 Ha:μ1−μ2≠0The following results are for two independent samples taken from the

Julli [10]

Answer:

a) $z =\frac{104-106}{\sqrt{\frac{8.4^2}{80} +\frac{7.6^2}{70}}}= -1.53$

b) $p_v =2*P(z$

c) Since the p value is higher than the significance level provided we have enogh evidence to FAIL to reject the null hypothesis and we can't conclude that the true means are different at 5% of significance

Step-by-step explanation:

Information given

$\bar X_{1}= 104$ represent the mean for 1

$\bar X_{2}= 106$ represent the mean for 2

$\sigma_{1}= 8.4$ represent the population standard deviation for 1

$\sigma_{2}= 7.6$ represent the population standard deviation for 2

$n_{1}=80$ sample size for the group 1

$n_{2}=70$ sample size for the group 2

z would represent the statistic

Hypothesis to test

We want to check if the two means for this case are equal or not, the system of hypothesis would be:

H0: $\mu_{1}=\mu_{2}$

H1: $\mu_{1} \neq \mu_{2}$

The statistic would be given by:

$z =\frac{\bar X_1-\bar X_2}{\sqrt{\frac{\sigma^2_1^2}{n_1} +\frac{\sigma^2_2^2}{n_2}}}=$ (1)

Part a

Replacing we got:

$z =\frac{104-106}{\sqrt{\frac{8.4^2}{80} +\frac{7.6^2}{70}}}= -1.53$

Part b

The p value would be given by this probability:

$p_v =2*P(z$

Part c

Since the p value is higher than the significance level provided we have enogh evidence to FAIL to reject the null hypothesis and we can't conclude that the true means are different at 5% of significance

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2 years ago