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Kamila [148]
3 years ago
11

Hey, can anyone help me? My math question is: "What sort of information can you get from conditional frequencies that you couldn

't get by just looking at the relative frequencies?"
Thanks :)
Mathematics
1 answer:
Daniel [21]3 years ago
8 0

Answer: Conditional frequencies enables users to get more specific information when analyzing a dataset.

Step-by-step explanation: Frequency refers to the count of occurrence of a particular variable.

Relative frequency is obtained by taking the ratio of the counts a particular variable and the total counts and of all available variables in the experiment or data.

Conditional Frequency allows us to input additional constraints to our frequency counts, especially in a two-way table. Enabling us to get more specific information by using conditional statements.

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PLEASEEEEEE HELPPPPP!!
DaniilM [7]

Answer:

y-b+am/m

Step-by-step explanation:

y-b=m(x-a)

y-b=MX-ma

mx=y-b+ma

x=y-b+ma/m

4 0
3 years ago
2x-4y=8<br> x+2y=4<br> How many solutions (x, y) are there to the system of equations above? explain
Mekhanik [1.2K]

Answer:

Exactly one solution.

Step-by-step explanation:

2x-4y=8

x+2y=4    /*2

<em>2x-4y=8</em>

<em><u>2x+4y=8 (+)</u></em>

4x=16

x=4

4+2y=4

y=0

(x;y)={(4; 0)}

Exactly one solution.

6 0
4 years ago
Plzzzz help asap lost ten u gain it asap
amm1812
1.35/ 12 = 0,112 So the unit cost will be 0,112 Check the answer 0,112 *12 = 1.35 
6 0
3 years ago
Read 2 more answers
A potato chip manufacturer has found that in the past the standard deviation of bag weight has been 0.2 ounce. They want to test
Brut [27]

Answer:

Null Hypothesis: \sigma=0.2

Alternative hypothesis: \sigma \neq 0.2 (Changes on the deviation)

Step-by-step explanation:

s represent the sample standard deviation

\sigma represent the population standard deviation (variable of interest)

\sigma_o =0.2 represent the value that we want to test

n represent the sample size

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".  

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".

Based on this the system of hypothesis should be:

Null Hypothesis: \sigma=0.2

Alternative hypothesis: \sigma \neq 0.2 (Changes on the deviation)

In order to test these system of hypothesis we need to select a significance level \alpha, then we need to calculate an statistic given by this formula.

\chi^2 =\frac{(n-1)s^2}{\sigma^2_o}

Then we need to calculate the degrees of freedom for the statistic on this case

df=n-1

And after this we need to calculate the pvalue based on the significance, the alternative hypothesis and the statistic calculated.

If the p_v we reject the null hypothesis

If the p_v >\alpha we FAIL reject the null hypothesis

3 0
3 years ago
I don't understand this plz help
Ivanshal [37]
Hey there! :D

When you are finding the area of corresponding sides, you square the number of the ratio of the similar lengths. 

The screens a little blurry, but I'm assuming the corresponding side is represented as: 

\frac{a}{b}

So, you would keep a and b where they are, (you would be confusing the areas if you switched it in any way) and then just square the variables. 

\frac{a^2}{b^2}

"C" is the best answer. 

I hope this helps!
~kaikers 
3 0
3 years ago
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