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vagabundo [1.1K]
3 years ago
6

Which statements are true?

Mathematics
1 answer:
Gwar [14]3 years ago
3 0
See the attached picture:

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A baseball diamond is a square that is 90% on each side. If a player throws the ball from 2" base to home, how
Flura [38]

Answer:

45 ft

Step-by-step explanation:

if each side is 90% and 2nd base is half way you divide 90 by 2

5 0
3 years ago
This graph displays a linear function. Interpret the constant rate of change of the relationship.
IgorC [24]

Answer: -3/-1  or 3/1 is the rate of change

Step-by-step explanation:

(0,2)

(3,3)    0-3==-3  

          2-3= -1  

-3/-1

4 0
4 years ago
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One dozen eggs cost $1.98 how much does 1 egg cost
RSB [31]
I think it would be 15 cents!
5 0
3 years ago
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A normal distribution has a mean of 20 and a standard deviation of 4. Determine the z-score for the data value of 42.
QveST [7]

Answer:

Z = (42-20)/4 = 5.5

Z = X-μ / σ

Step-by-step explanation:

8 0
3 years ago
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Given the information below, write the conclusion in context. 1. H0 : The proportion of defective batteries = 0.02 2. HA : The p
Marizza181 [45]

Answer:

z = -1.23

And we can calculate the p value with the following probability taking in count the alternative hypothesis:

p_v = P(z

And for this case using a significance level of \alpha=0.05 ,0.1 we see that the p value is larger than the significance level so then we can conclude that we FAIL to reject the null hypothesis and we don't have enough  evidence to conclude that the true proportion is less than 0.02

Step-by-step explanation:

For this case we want to test the following system of hypothesis:

Null hypothesis: p =0.02

Alternative hypothesis: p < 0.02

The statistic for this case is given by:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

And for this case we know that the statistic is given by:

z = -1.23

And we can calculate the p value with the following probability taking in count the alternative hypothesis:

p_v = P(z

And for this case using a significance level of \alpha=0.05 ,0.1 we see that the p value is larger than the significance level so then we can conclude that we FAIL to reject the null hypothesis and we don't have enough  evidence to conclude that the true proportion is less than 0.02

5 0
3 years ago
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