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musickatia [10]
3 years ago
11

Please help me answer this

Mathematics
1 answer:
yarga [219]3 years ago
6 0

80,000going up by 10% you just add the 10% on

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What is the sign of the product (–5)(–3)(–8)(–6)? Positive, because the products (–5)(–3) and (–8)(–6) are negative, and the pro
sasho [114]

Answer:

  Positive, because the products (–5)(–3) and (–8)(–6) are positive, and the product of two positive numbers is positive

Step-by-step explanation:

There are an even number of negative factors, so the product is positive:

  Positive, because the products (–5)(–3) and (–8)(–6) are positive, and the product of two positive numbers is positive

4 0
3 years ago
A survey was taken of students in math classes to find out how many hours per day students spend on social media. The survey res
Ray Of Light [21]
  Third Period: 4, 5, 3, 4, 2, 3, 4, 1, 8, 2, 3, 1, 0, 2, 1, 3

Measures of central tendency are methods to which an investigator can locate the most central value, or the reoccurring or frequent most value in the set of parameter or statistic. There are three:
Mean. Is the average of the data values
Median. The middlemost value or digit in the data set
Mode. The determining the most frequent parameter To identify which of these three suits the given, arranging them first is a must. Ascending to descending.
Third Period: 0,1,1,1,2,2,2,3,3,3,3 4,4,4,5,8,

The best is mode, why? Because if you observe there is a number most frequent in the data value and it is the fastest way.

Mode = 3



7 0
3 years ago
Read 2 more answers
At a large university, the mean amount spent by students for cell phone service is $58.90 per month with a standard deviation of
zhenek [66]

Answer:

2.28% probability that the mean amount of their monthly cell phone bills is more than $60

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 58.90, \sigma = 3.64, n = 44, s = \frac{3.64}{\sqrt{44}} = 0.54875

What is the probability that the mean amount of their monthly cell phone bills is more than $60?

This is 1 subtracted by the pvalue of Z when X = 60. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{60 - 58.90}{0.54875}

Z = 2

Z = 2 has a pvalue of 0.9772

1 - 0.9772 = 0.0228

2.28% probability that the mean amount of their monthly cell phone bills is more than $60

4 0
3 years ago
What is the fraction in decimal form? 21/6 Enter your answer in the box.
ycow [4]
The correct way 21/6 would be in decimal form is 3.5
5 0
3 years ago
Read 2 more answers
Helpppppp:((((((this is due tomorrow and I still didn’t turn it in. Pls help if you can and take ur time but pls don’t take too
antoniya [11.8K]
1. the pitcher is full because it can hold 1 liter, which is 1000ml and 500+400=900 so there would be 100ml before it would overflow.
2. Grant uses 3000ml of ginger, since 3g=3000ml.
3.<
4.>
5.=
6. 4L = 4000ml
9L = 9000ml
7. 6g = 6000mg
11g = 11000mg
8. 5kg = 5000g
17kg = 17000g

hope that helps!
7 0
2 years ago
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