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wolverine [178]
3 years ago
14

Daniel sites 5 feet away Mia . Juliette sites 64 inches away from Mia. who sits closer to Mia.

Mathematics
1 answer:
zmey [24]3 years ago
8 0

daniel sits closer to mia

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The bill for a pizza and soda was $20. You want to leave a 15% tip. What will be the total amount paid for the bill?
sukhopar [10]

Answer:

23

Step-by-step explanation:

20 *.15=3

20+3=23

3 0
3 years ago
Arnold has $24 to spend at the movies. His ticket is $12. He bought popcorn, candy bar, and soda. Popcorn is double the prize of
Anastasy [175]

Given:

Arnold has $24 to spend at the movies.

Ticket = $12

Popcorn is double the price of the soda.

The soda and candy bar are same price.

To find:

The price for the soda.

Solution:

Let x be the price of soda.

According to the question,

Price of candy = Price of soda = x

Price of popcorn = 2(price of soda) = 2x

Total amount = Ticket + Popcorn + Soda + Candy

24=12+2x+x+x

24=12+4x

24-12=4x

12=4x

Divide both sides by 4.

\dfrac{12}{4}=x

3=x

Therefore, the price of soda is $3.

8 0
3 years ago
Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the pre
choli [55]

Answer:

z=\frac{0.4 -0.48}{\sqrt{\frac{0.48(1-0.48)}{115}}}=-1.717  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.1 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people that have traded in their old car is lower than 0.48 or 48%.  

Step-by-step explanation:

Data given and notation

n=115 represent the random sample taken

X=46 represent the number of people that have traded in their old car.

\hat p=\frac{46}{115}=0.4 estimated proportion of people that have traded in their old car

p_o=0.48 is the value that we want to test

\alpha=0.1 represent the significance level

Confidence=90% or 0.9

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion is less than 0.48.:  

Null hypothesis:p\geq 0.48  

Alternative hypothesis:p < 0.48  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.4 -0.48}{\sqrt{\frac{0.48(1-0.48)}{115}}}=-1.717  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.1. The next step would be calculate the p value for this test.  

Since is a left tailed test the p value would be:  

p_v =P(z  

So the p value obtained was a very low value and using the significance level given \alpha=0.1 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of people that have traded in their old car is lower than 0.48 or 48%.  

4 0
4 years ago
Simplify the following expression.
maksim [4K]

Answer:

Step-by-step explanation:

5x^3+8x-8x^2-5x^2+8x^3+7x

14x^3-14x^2+15x

5 0
3 years ago
Read 2 more answers
"A histogram of a set of data indicates that the distribution of the data is skewed right. Which measure of central tendency wil
sineoko [7]

Answer:

the mean

Step-by-step explanation:

A right skewed histogram is a positive skewed histogram (which means the tail is longer the positive direction) that have its tail to the right.

For a right skewed histogram the mean has a larger value that the median because the peak of the skewness is fall in the median range then the mean follow to the right. and the data drive the mean value to the right which increase in value.

6 0
3 years ago
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