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max2010maxim [7]
4 years ago
13

PLEASE HELP ME OUT FOR 40 POINTS PRETTY PLEASE!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Mathematics
2 answers:
Serhud [2]4 years ago
8 0
Well all the data is in the hundreds. Suddenly the eighth person is added who has 700 more cards then everyone else.
A - If the data went to the left, that means the eight person had less cards than everyone else.
B - This is the answer because 800 is 700 greater than the rest of the data and further to the right of the number line
C. The data would get LESS not more symmetrical by adding such a high outlier
D. The data would become MORE not less spread by adding such a far outlier.
aev [14]4 years ago
3 0

For the numbers 130, 142, 145, 145, 150, 163, 121 , we would have. Q1 = 1.5 and we would get Q3. So in my perspective the distribution is on the left, with the median on 7.8.b.

So the answer is

B.The data distribution will become skewed to the right.


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The answer will be C 520
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You get paid $6.80 per hour and worked 4 hours of overtime last week .How much overtime pay will you receive for last week ?
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Rate per hour = 6.8
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4 years ago
Can someone plss help me (middle school 7th grade) I dont this ​
AVprozaik [17]

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what is it over?

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4 0
3 years ago
Rationalize the denominator and simplify. 5/4-√3
Yakvenalex [24]
I assume the denominator is (4-√3)
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4 0
3 years ago
Last year, a soft drink manufacturer had 22% of the market. In order to increase their portion of the market, the manufacturer h
N76 [4]

Answer:

Critical value zc = 1.6449.

As the test statistic z=1.3881 is smaller than the critical value zc=1.6449, it falls in the acceptance region and the null hypothesis is failed to be rejected.

Step-by-step explanation:

This is a hypothesis test for a proportion.

The claim is that more than 22% of the population will like the new soft drink.

Then, the null and alternative hypothesis are:

H_0: \pi=0.22\\\\H_a:\pi>0.22\\

The significance level is 0.05.

The sample has a size n=400.

The sample proportion is p=0.25.

p=X/n=100/400=0.25

The standard error of the proportion is:

\sigma_p=\sqrt{\dfrac{\pi(1-\pi)}{n}}=\sqrt{\dfrac{0.22*0.78}{400}}\\\\\\ \sigma_p=\sqrt{0.000429}=0.0207

Then, we can calculate the z-statistic as:

z=\dfrac{p-\pi-0.5/n}{\sigma_p}=\dfrac{0.25-0.22-0.5/400}{0.0207}=\dfrac{0.0288}{0.0207}=1.3881

As this is a right-tailed test, there is only one critical value and it is, for a significance level of 0.05, zc=1.6449.

As the test statistic z=1.3881 is smaller than the critical value zc=1.6449, it falls in the acceptance region and the null hypothesis is failed to be rejected.

3 0
3 years ago
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