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Arte-miy333 [17]
3 years ago
8

If the Zeros are 2 and 8 what's the axis of symmetry?

Mathematics
1 answer:
lions [1.4K]3 years ago
8 0

Answer:

Step-by-step explanation:

x=2,x-2=0

x=8

x-8=0

y=(x-2)(x-8)=x²-2x-8x+16=x²-10x+16

=x²-10x+25-25+16

=x²-10x+25-9

y=(x-5)²+9

axis of symmetry is x-5=0 or x=5

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Leon has $40 How many Mexican pesos can Leon buy with his dollars<br><br> Show work plz
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A cat had a litter of 5 kittens. If each sex is equally likely, what is the probability that 3 or less were female kittens?
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Answer:

0.8125

Step-by-step explanation:

In this question, we are tasked with calculating the probability that 3 or less of her kittens were female.

Since each bsex is of likely probability, the probability of a male kitten = probability of a female kitten = 0.5

Now to calculate for 3 or less female kitten we are calcualting P(f) ≤ 3

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P(f) ≤ 3 = 5C3 m^{2} f^{3} + 5C2 m^{2}  f^{3} + 5C1 m^{4}  f + 5C0 m^{5}  f^{0}

Where m is the probability of a male kitten and f is the probability of having a female kitten with both values = 0.5

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8 0
3 years ago
A random sample of 144 recent donations at a certain blood bank reveals that 81 were type A blood. Does this suggest that the ac
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Answer:

Null hypothesis:p=0.4  

Alternative hypothesis:p \neq 0.4

z=\frac{0.5625 -0.4}{\sqrt{\frac{0.4(1-0.4)}{144}}}=3.98  

p_v =2*P(z>3.98)=0.0000689  

Since the p value is very low compared to the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true percent of people with type A of blood is significantly different from 0.4 or 40%

Step-by-step explanation:

Information given

n=144 represent the random sample taken

X=81 represent the number of people with type A blood

\hat p=\frac{81}{144}=0.5625 estimated proportion of  people with type A blood

p_o=0.4 is the value that we want to verify

\alpha=0.01 represent the significance level

z would represent the statistic

p_v{/tex} represent the p value Hypothesis to testWe want to test if the percentage of the population having type A blood is different from 40%.:  Null hypothesis:[tex]p=0.4  

Alternative hypothesis:p \neq 0.4  

the statistic is given by:

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

Replacing the info given we got:

z=\frac{0.5625 -0.4}{\sqrt{\frac{0.4(1-0.4)}{144}}}=3.98  

Now we can calculate the p value with this probability taking in count the alternative hypothesis:

p_v =2*P(z>3.98)=0.0000689  

Since the p value is very low compared to the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true percent of people with type A of blood is significantly different from 0.4 or 40%

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