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Salsk061 [2.6K]
3 years ago
5

What did Tumnus want to know about Lucy right away? What did we later find out was his motivation?

Mathematics
1 answer:
lbvjy [14]3 years ago
7 0
I have no idea ?!!?!?
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7 added to the quotient of 6 and 2
coldgirl [10]
6/2=3+7=10
so
(6/2)+7=10
5 0
3 years ago
The school band is having a car wash to raise money. There goal is to collect $150. So far they have earned $10 each from three
Lady bird [3.3K]
They’ve already earned $105 so they need $45 more to reach their goal
4 0
3 years ago
What is a statistical question and what is its purpose? Be sure to include the 3 characteristics that make it up.
sattari [20]

Answer:

Step-by-step explanation:

What is a statistical question and what is its purpose? Be sure to include the 3 characteristics. That makes it up.

Answer- and statistical question is a question that guides research by defining the population of a given topic and that anticipates variability in the collected data. The purpose of a statistical question is it is the first step of the statistical process. The 3 characteristics  of a statistical question are allows for clear responses, includes a specific population, and anticipates variability of the data.

What does it mean for data to have variability as it refers to statistical questions? Give an example.

A statistical question has more than one possible answer

Example- how many chores do you have? Some people might say 5 or 2 or even 0. It just depends on the person's family.

Well a dot diagram is like this for example,

And a histogram is this,

Dot diagram uses dots and the histogram uses bars.

When would we use them? Well that I can explain, you can use the dot diagram  to see what pets people have or even to see how many people scored how many points.

A histogram can be used for a concert. There would be like on the bottom,  0-6, 7-12, and so on. The bars show how many people from what age group are joining the concert.

Explain the difference between center and shape of a data set.

The center is the median and/ or mean of the data. The spread is the range of the data. And, the shape describes the type of graph.

hope this helps give brainiest.

6 0
3 years ago
Give the coordinates of Point P without using any new variables. <br><br> (Please show your work.)
poizon [28]

Answer:

(a-b, c)

Step-by-step explanation:

The midpoints of the two diagonals are the same, so we have ...

(P + (-a, 0))/2 = (O +(-b, c))/2

Multiplying by 2 and subtracting (-a, 0), we get ...

P = (0, 0) +(-b, c) -(-a, 0)

P = (a-b, c)

7 0
3 years ago
A study of the number of business lunches that executives in the insurance and banking industries claim as deductible expenses p
gizmo_the_mogwai [7]

Answer:

t=\frac{9.1-8}{\sqrt{\frac{(1.9)^2}{40}+\frac{(2.1)^2}{50}}}}=2.604  

p_v =2*P(t_{(88)}>2.604)=0.0108

So the p value is a very low value and using any significance level for given \alpha=0.05 always p_v so we can conclude that we have enough evidence to reject the null hypothesis, and there is enough evidence to conclude that the two means are significantly different at 5%

Step-by-step explanation:

Data given and notation

\bar X_{1}=9.1 represent the mean for the sample 1

\bar X_{2}=8 represent the mean for the sample 2

s_{1}=1.9 represent the sample standard deviation for the sample 1

s_{2}=2.1 represent the sample standard deviation for the sample 2

n_{1}=40 sample size for the group 1

n_{2}=50 sample size for the group 2

t would represent the statistic (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to check if the mean are different , the system of hypothesis would be:

Null hypothesis:\mu_{1} = \mu_{2}

Alternative hypothesis:\mu_{1} \neq \mu_{2}

If we analyze the size for the samples both are higher than 30 and the population deviations are not given, so for this case is better apply a t test to compare means, and the statistic is given by:

t=\frac{\bar X_{1}-\bar X_{2}}{\sqrt{\frac{s^2_{1}}{n_{1}}+\frac{s^2_{2}}{n_{2}}}} (1)

t-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

Calculate the statistic

We can replace in formula (1) the results obtained like this:

t=\frac{9.1-8}{\sqrt{\frac{(1.9)^2}{40}+\frac{(2.1)^2}{50}}}}=2.604  

Statistical decision

The first step is calculate the degrees of freedom, on this case:

df=n_{1}+n_{2}-2=40+50-2=88

Since is a bilateral test the p value would be:

p_v =2*P(t_{(88)}>2.604)=0.0108

So the p value is a very low value and using any significance level for given \alpha=0.05 always p_v so we can conclude that we have enough evidence to reject the null hypothesis, and there is enough evidence to conclude that the two means are significantly different at 5%

3 0
3 years ago
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