Help please.Round to the nearest hundredths

10 − 7j + 7 = -10 − 4j<br><br><br> What is j

Elena L [17]

Add the numbers 7 + 10
17 - 7j = -10 - 4j
subtract 17 from both sides
-7j = -27 - 4j
add 4j to both sides
-3j = -27
divide both sides by -3
j = 9

7 0

3 years ago

Read 2 more answers

How would you prove these two triangles conrguent?

Crank

Answer:

SSS

Step-by-step explanation:

4 0

3 years ago

On a game board spinner, Taylor won a prize on 6 out of 11 spins. What is the probability that she will win a prize on the next

Reptile [31]

Answer:

D. 6/11

Step-by-step explanation:

Please see the attached file for explanation

3 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

How to dividing whole numbers

Bumek [7]

Answer:

It would really depend on what the number is and HOW you're dividing it! If you need help, make sure to explain WHAT you're trying to divide.

Step-by-step explanation:

6 0

3 years ago