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den301095 [7]
3 years ago
6

It is 185 mi to fort Worth evang drive 2 hours at 65 miles per hour how far will he be from fort Worth multiply the number of ho

urs times the number of miles per hour
Mathematics
1 answer:
Sophie [7]3 years ago
6 0

Answer:

It is 185 mi to fort Worth evang drive 2 hours at 65 miles per hour how far will he be from fort Worth multiply the number of hours times the number of miles per hour

Step-by-step explanation:

It is 185 mi to fort Worth evang drive 2 hours at 65 miles per hour how far will he be from fort Worth multiply the number of hours times the number of miles per hour

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Julie goes shopping complete the following table to show his shopping bill
Murrr4er [49]

Answer:

£75.53

Step-by-step explanation:

3tshirt=£17.82

2pauntbrush=£13.94

4bags of pasta=£3.52

toral=£17.82+£13.94+£3.52+£41.25=75.53

4 0
3 years ago
X
slava [35]

Answer:

Equation 1 x=-16

Equation 2 m=-3

Step-by-step explanation:

Equation 1

3x-x=-24-6

2x=-32

x=-32/2

x=-16

Equation 2

-2m=16-10

-2m=6

m=6/-2

m=-3

6 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 prime factorization of 1,260?
ANTONII [103]
2^2*3^2*5*7
7 0
3 years ago
If you woke up at 11:15 am and went to sleep at 1:55 am. How many hours where you awake?
dybincka [34]

Answer: 15 hours and 10 minutes

Hope this helps!

7 0
3 years ago
Read 2 more answers
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