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Lemur [1.5K]
1 year ago
14

A reporter for a large sports television network wants to determine if "homefield advantage" is dependent upon the sport. He col

lects data from a sample of games played in the four major professional sports in the country, and he records the number of home team wins and visiting team wins for these games. Use the 0.10 significance level to test the claim that home/visitor team wins are dependent on the sport. Find the value of the P-VALUE that would be used in a hypothesis test of the claim.
Mathematics
1 answer:
Ne4ueva [31]1 year ago
8 0

Answer:

with 0.10 level of significance the P-VALUE that would be used in the hypothesis claim is 0.05%

Step-by-step explanation:

In hypothesis testing in statistics, we can say that the p-value is a probability of obtaining test results when we assume that the null hypothesis is correct.

The p-value is the probability that the null hypothesis is true.

A p-value less than or equals to 0.05  is statistically significant. It shows strong evidence against the null hypothesis, meaning  there is less than a 5% probability the null is correct and clearly we can say that the results are random.

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In a certain classroom ,12.5% of the students own at least one pet. If there are 32 students in the classroom,how many students
Y_Kistochka [10]

Answer:

28

Step-by-step explanation:

Given that 12.5% of students own at least 1 pet, then the percentage of students who do not own a pet is

100% - 12.5% = 87.5%

Calculate 87.5% of 32, that is

\frac{87.5}{100} × 32

= 0.875 × 32 = 28 ← number of students who do not own a pet

8 0
2 years ago
Read 2 more answers
The potential energy, P, in a spring is represented using the formula P = kx2. Lupe uses an equivalent equation, which is solved
ella [17]

Original equation is P=kx^{2}

So, kx^{2} =P and

k=\frac{P}{x^{2} }

If we compare this equation with the given options, we can easily find that this matches with the last one k=\frac{p}{2x^{2} } with P = p/2.

Hence, correct option is k=\frac{p}{2x^{2} }.

4 0
2 years ago
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Tesla wanted to determine the average miles per kWh that their vehicles get across all models and variations. They took a sample
LiRa [457]

Answer:

\mu_{\bar x} = \mu = E(X) =30KWh

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}=\frac{3}{\sqrt{100}}=0.3

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

For this case we select a sample of n =100

From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

So then the sample mean would be:

\mu_{\bar x} = \mu = E(X) =30KWh

And the standard deviation would be:

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}=\frac{3}{\sqrt{100}}=0.3

6 0
1 year ago
Mrs. Start's class paid $5.60 for 4 5 yd of lace for an art project. Later, the class decided to buy another 7 3 4 yd of the sam
Damm [24]
The answer to your question, is 54.25.
3 0
1 year ago
The graph represents the feasible region for the system:
morpeh [17]

We have been given a system of inequalities and an objective function.

The inequalities are given as:

y\leq 2x\\
x+y\leq 45\\
x\leq 30\\

And the objective function is given as:

P=25x+20y

In order to find the minimum value of the objective function at the given feasible region, we need to first graph the region.

The graph of the region is shown below:

From the graph, we can see that corner points of the feasible region are:

(x,y) = (15,30),(30,15) and (30,60).

Now we will evaluate the value of the objective function at each of these corner points and then we will compare which of those values is minimum.

\text{At (15,30)}\Leftrightarrow P=25\cdot 15+20\cdot 30=975\\
\text{At (30,15)}\Leftrightarrow P=25\cdot 30+20\cdot 15=1050\\
\text{At (30,60)}\Leftrightarrow P=25\cdot 30+20\cdot 60=1950\\

Hence the minimum value of objective function is 975 and it occurs at x = 15 and y = 30

3 0
2 years ago
Read 2 more answers
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