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Semmy [17]
2 years ago
9

Sylvie finds the solution to the system of equations by graphing.

Mathematics
1 answer:
Goryan [66]2 years ago
8 0

Answer:

sorry don't know the answer

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1. Ima Thief robs a bank and takes off in a getaway car. Five minutes Polly Srule takes off after Ima.
chubhunter [2.5K]

Answer:

a. 12 minutes

b. 34 minutes

Step-by-step explanation:

Here, we are told that Ima has driven 5 minutes before Polly started driving

So if Ima has driven for x minutes , polly would have driven for y minutes but the difference between x and y is 5

So mathematically;

x = y + 5

a. 17 = y + 5

y = 17-5 = 12 minutes

b. x = 29 + 5

x = 34 minutes

8 0
3 years ago
I have finals tomorrow lol. If you guys could teach me how to do this you’d be amazing
ddd [48]
2r + 2r + 5 + r + 4r - 3 = 38

9r + 5 - 3 = 38

9r + 2 = 38

9r = 38 - 2

9r = 36

9r/9 = 36/9

r = 4cm

Done!
3 0
3 years ago
Dylan Rieder is a statistics student investigating whether athletes have better balance than non-athletes for a thesis project.
Kobotan [32]

Answer:

t=\frac{(3.7-4.1)-0}{\sqrt{\frac{1.1^2}{32}+\frac{1.3^2}{45}}}}=-1.457

p_v =P(t_{75}  

Comparing the p value with a significance level for example \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can't say that the population mean for the athletes is significantly lower than the population mean for non athletes.  

Step-by-step explanation:

Data given and notation

\bar X_{A}=3.7 represent the mean for athletes  

\bar X_{NA}=4.1 represent the mean for non athletes  

s_{A}=1.1 represent the sample standard deviation for athletes  

s_{NA}=1.3 represent the sample standard deviation for non athletes

n_{A}=32 sample size for the group 2  

n_{NA}=45 sample size for the group 2  

\alpha=0.01 Significance level provided  

t would represent the statistic (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the population mean for athletes is lower than the population mean for non athletes, the system of  hypothesis would be:  

Null hypothesis:\mu_{A}-\mu_{NA}\geq 0  

Alternative hypothesis:\mu_{A} - \mu_{NA}< 0  

We don't have the population standard deviation's, we can apply a t test to compare means, and the statistic is given by:  

t=\frac{(\bar X_{A}-\bar X_{NA})-\Delta}{\sqrt{\frac{s^2_{A}}{n_{A}}+\frac{s^2_{NA}}{n_{NA}}}} (1)  

t-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.  

With the info given we can replace in formula (1) like this:  

t=\frac{(3.7-4.1)-0}{\sqrt{\frac{1.1^2}{32}+\frac{1.3^2}{45}}}}=-1.457

P value  

We need to find first the degrees of freedom given by:

df=n_A +n_{NA}-2=32+45-2=75

Since is a one left tailed test the p value would be:  

p_v =P(t_{75}  

Comparing the p value with a significance level for example \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can't say that the population mean for the athletes is significantly lower than the population mean for non athletes.  

5 0
3 years ago
(
Paraphin [41]

Answer:

can you explain more please?

5 0
3 years ago
Read 2 more answers
Question #3 with the answer and equation please
fenix001 [56]

14 times 7 times 8 is equal to 784 ft^2

7 0
3 years ago
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