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aliina [53]
3 years ago
9

Simplify the equation 6/x-1-5x/4

Mathematics
1 answer:
Mrrafil [7]3 years ago
3 0

Step-by-step explanation:

The answer with explanation is in the image.

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gina has a box of red blue and green markers. The ratio of the number of red markers to the number blue markers is 5:2. The rati
sweet [91]

This can be solve by cancel of units

Snice red/ bkue = 5/2

And bkue/ green = 3/ 5

So red/ green = (red/ bkue) x( blue/ green)

Red/ green = (5/ 2) x (3/ 5)

Red / green = 3 /2

So the ratio of red is to green is 3: 2

3 0
3 years ago
Read 2 more answers
ronaldo delivers the papers at the rate of 6 papers in 24 minutes. how much longer would it take him to deliver 56 papers than 4
UkoKoshka [18]

We are given

Ronaldo delivers the papers at the rate of 6 papers in 24 minutes

so, number of papers =6 in time =24 minutes

so, firstly we can find rate

rate = ( number of papers)/( time taken)

r=\frac{6}{24} =\frac{1}{4}

now, we can find times

Time for 56 papers:

we are given

number of papers =56

rate is

r=\frac{1}{4}

now, we can find time

t_1=\frac{56}{r}

t_1=\frac{56}{\frac{1}{4}}

t_1=224min

Time for 41 papers:

we are given

number of papers =41

rate is

r=\frac{1}{4}

now, we can find time

t_2=\frac{41}{r}

t_2=\frac{41}{\frac{1}{4}}

t_2=164min

now, we can find time difference

t=t_1-t_2

so, we can plug values

t=224-164

t=60 min..............Answer


8 0
4 years ago
Read 2 more answers
Is the 161 rounded to the nearest 10 or to the nearest 100
kaheart [24]

Answer:

10

Step-by-step explanation:

so you can make it 200

5 0
3 years ago
What is an outlier? How does it effect data like mean, median, and mode?
pogonyaev
An outlier is a number much smaller or larger than the rest of the group of numbers. And outlier does not affect the median or the mode at all. It only affects the mean.
3 0
3 years ago
A study is conducted to determine if a newly designed text book is more helpful to learning the material than the old edition. T
CaHeK987 [17]

Answer:

We need to conduct a hypothesis in order to check if the mean is higher than 75, the system of hypothesis are :  

Null hypothesis:\mu \leq 75  

Alternative hypothesis:\mu > 75  

A. One-Tailed

z=\frac{82.2-75}{\frac{10.4}{\sqrt{10}}}=2.189  

p_v =P(z>2.189)=0.0143  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.

Step-by-step explanation:

Data given and notation  

We have the following data: 84 94 80 88 77 68 90 74 96 71

We can calculate the sample mean with the following formula:

\bar X =\frac{\sum_{i=1}^n X_i}{n}

And replacing we got:

\bar X=82.2 represent the sample mean  

\sigma=10.4 represent the population standard deviation  

n=10 sample size  

\mu_o =75 represent the value that we want to test  

\alpha=0.01 represent the significance level for the hypothesis test.  

z would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean is higher than 75, the system of hypothesis are :  

Null hypothesis:\mu \leq 75  

Alternative hypothesis:\mu > 75  

A. One-Tailed

Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:  

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}} (1)  

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic  

We can replace in formula (1) the info given like this:  

z=\frac{82.2-75}{\frac{10.4}{\sqrt{10}}}=2.189  

P-value  

Since is a ONE-TAILED  test the p value would given by:  

p_v =P(z>2.189)=0.0143  

Conclusion  

If we compare the p value and the significance level given \alpha=0.01 we see that p_v>\alpha so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.

5 0
3 years ago
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