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jeka57 [31]
3 years ago
5

Suzl starts her hike at 300 feet below sea level. When she reaches the end of the

Mathematics
1 answer:
Angelina_Jolie [31]3 years ago
7 0

For all the other viewers of this question, the change was -403 feet or you could say 403 feet i guess but the answer is -403 feet

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A. 2x^2 + 7x + 6
Alexandra [31]

Answer:

Step-by-step explanation:

the 3 equation can not be factorised. Because they will result to fraction

7 0
3 years ago
Y=-2(×-3)(x-2) to standard form <br><br>(show work)​
damaskus [11]

Answer:

y=-2x^2+10x-12

Step-by-step explanation:

graph is shown in image below

4 0
3 years ago
The corporate team-building event will cost $9 if it has 3 attendees. How many attendees can there be, at most, if the budget fo
Lelechka [254]

Answer:

Step-by-step explanation:

$9 for 3 attendees is $3 a person  or 9:3 ratio

$18 for 6 attendees still $3 a person and goes by the 9:3 ratio, it's 18:6

3 0
3 years ago
Read 2 more answers
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
The equation for the pH of a substance is pH = –log[H+], where H+ is the concentration of hydrogen ions. What is the approximate
Korolek [52]
PH = -log[H+]
= -log(2*10^-9)
= -(log(2) +log(10^-9))
= -(0.3 -9)
= 8.7

The appropriate choice is
  C. 8.7
5 0
3 years ago
Read 2 more answers
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