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e-lub [12.9K]
3 years ago
7

Which statements are true?

Mathematics
1 answer:
Sav [38]3 years ago
7 0

Answer:

its 2 and 4

Step-by-step explanation:

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Physics! Someone help me! Its due today please!
icang [17]

Step-by-step explanation:

We have,

Mass of ball is 9 kg

Initial speed, u = 5 m/s

Final speed, v = -2 m/s (negative as it bounces off)

(a) The change in velocity of the bowling ball is :

\Delta v=v-u\\\\\Delta v=-2-5\\\\\Delta v=-7\ m/s

(b) Change of momentum of the ball is :

p=m\Delta v\\\\p=90\times (-7)\\\\p=-630\ kg-m/s

|p| = 630 kg-m/s

(c) Impulse momentum theorem states that the change in momentum of the ball is equal to the impulse exerted on the ball. So, impulse is 630 kg-m/s.

(d) Impulse is also given by :

J=F\times t\\\\F=\dfrac{J}{t}\\\\F=\dfrac{630}{0.3}\\\\F=2100\ N

6 0
3 years ago
Only the function represented by graph has inverse function
KengaRu [80]

Answer:

rest of the question?

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
I NEED HELP ASAP!!! Two angles are supplementary. The measure of one angle is 6 less than 20% of the other. find both angles.
Mamont248 [21]

Answer:

Step-by-step explanation:

3 0
3 years ago
The value of the square root of 13 is between
slamgirl [31]

Answer:uhhhhhhhhhhhhhhhhhhh 14

Step-by-step explanation:

8 0
3 years ago
One factor in rating a National Hockey League team is the mean weight of its players. A random sample of players from the Detroi
lukranit [14]

Answer:

1) Random: A random sample needs to be obtained in order to apply inference for the mean

2) Normality condition: The sampling distribution of \bar X needs to be approximately normal. If we use a random sample size higher than 30 we can use the Central Limit theorem to verify this condition.

3) Independence: All the individual observations need to be independent. And we need to satisfy that our sample would be lower than 10% of the real population size.

Step-by-step explanation:

For this case we need three conditions:

1) Random: A random sample needs to be obtained in order to apply inference for the mean

2) Normality condition: The sampling distribution of \bar X needs to be approximately normal. If we use a random sample size higher than 30 we can use the Central Limit theorem to verify this condition.

3) Independence: All the individual observations need to be independent. And we need to satisfy that our sample would be lower than 10% of the real population size.

Data given and notation  

\bar X=203 represent the sample mean

s=10.9 represent the sample standard deviation  

n=17 sample size  

\mu_o represent the value that we want to test  

\alpha=0.01 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We can assume the following system of hypothesis.

Null hypothesis:  \mu = \mu_o  

Alternative hypothesis :\mu\neq \mu_o  

The degrees of freedom on this case:

df=n-1=10-1

Compute the test statistic

The statistic for this case is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

7 0
3 years ago
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