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Arada [10]
3 years ago
15

4. A kitten weighs 4 pounds. What is the approximate mass of the kitten in kilograms?​

Mathematics
1 answer:
Margarita [4]3 years ago
5 0

Answer:

1.81 kilograms

Step-by-step explanation:

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Write the Quadratic in VERTEX form that has a vertex at (-3,-1) and passes through the point (0,4).
avanturin [10]

Answer:

standard \: from \: y =  -  \frac{5}{9}x {}^{2}  + 4

verter \: from \: y = \frac{ - 5}{9}x {}^{2} + 4

8 0
2 years ago
Which answer could it be?
IceJOKER [234]

Answer:

B

Step-by-step explanation:

the reason is  the

6 0
4 years ago
Could anyone help me with my geometry? I'm on the unit <br> Law of Sines
monitta
Sin 0 = 0
Sin 30 = 1/2
Sin 45 = 1/SR of 2
Sin 60 = SR of 3/2
Sin 90 = 1
8 0
3 years ago
An analytical laboratory is asked to evaluate the claim that the concentration of the active ingredient in a specimen is 86%. Th
Olenka [21]

Answer:

Decision rule

   Reject null hypothesis

Conclusion

There is significance evidence that the true mean is different from 0.86

Step-by-step explanation:

From the question we are told that

  The population mean   \mu  = 0.86

   The  sample is  mean is \=  x  =  0.8708

  The standard deviation is  \sigma =  0.0068

The  level of significance is  \alpha  =  0.01

  The  sample size n =  3

The null hypothesis is  \mu =  0.86

The alternative hypothesis  is \mu \ne  0.86

Generally the test statistics is mathematically represented as  

    z =  \frac{\=  x  - \mu }{ \frac{\sigma}{\sqrt{n} } }

=> z =  \frac{ 0.8708 - 0.86 }{ \frac{0.0068}{\sqrt{3} } }

=>  z =  2.751  

Generally  p- value is mathematically represented as

       p-value =  2 P(z >2.751   )

From the z-table  

        P(z >2.751 ) =  0.0029707

So

     p-value =  2 *  0.0029707

=>   p-value =  0.00594

From the obtained question we see that  p-value  <  \alpha

Hence we reject the null hypothesis

 

6 0
3 years ago
IQ scores for adults age 20 to 34 years are normally distributed according to N(120, 20). In what range does the middle 68% of p
Ilya [14]

The required interval of the given normal distribution using the empirical rule is <u>[100, 140]</u>.

The empirical rule formula (also known as a 68 95 99 rule formula) uses data from a normal distribution to determine the first, second, and third standard deviations, which, respectively, differ from the mean value by 68%, 95%, and 99%. Additionally, it shows that 99.9% of the data fall inside the third standard deviation range (either above or below the mean value). The empirical rule formula is described below with cases that have been resolved.

In the question, we are given that IQ scores for adults aged 20 to 34 years are normally distributed according to N(120, 20), and are asked for the range in which the middle 68% of people in this group score on the test.

N(120, 20) signifies a normal distribution with mean, μ = 120, and the standard deviation, σ = 20.

By the empirical formula, 68% of the data lies within one standard deviation from the mean.

Thus, the required interval is [μ - σ, μ + σ] = [120 - 20, 120 + 20] = [100, 140].

Learn more about the empirical rule at

brainly.com/question/10093236

#SPJ4

6 0
1 year ago
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