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levacccp [35]
3 years ago
8

Tarik is trying to save $265.49 to buy a new tablet. Right now, he has $40 and can save $38 a week from his allowance. When will

Tarik have enough money to buy the tablet?
Mathematics
2 answers:
Sonbull [250]3 years ago
8 0

Answer:

Yo, what kind of cheap china tablet is this dude buying.

Anyways,  Your answer is<u> 6 weeks </u>according to my calculations

Step-by-step explanation:

So this dude already has 40 dollars, so we take that away from the tablet cost

265.49-40=225.49

Then, we divide that new number by 38 dollars to see how many weeks he will need to get that money

225.49/ 38 = 5.93394737

now we round that number up to 6.

bon apetite.

DiKsa [7]3 years ago
4 0

Answer:

40 + 38w  ≥ 265.49

 

Where “w” represents the amount

of weeks it will take to

save the money

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A geometric sequence is defined by the general term tn = 75(5n), where n ∈N and n ≥ 1. What is the recursive formula of the sequ
andreyandreev [35.5K]
The correct answer is C) t₁ = 375, t_n=5t_{n-1}.

From the general form,
t_n=75(5)^n, we must work backward to find t₁.

The general form is derived from the explicit form, which is
t_n=t_1(r)^{n-1}.  We can see that r = 5; 5 has the exponent, so that is what is multiplied by every time. This gives us

t_n=t_1(5)^{n-1}

Using the products of exponents, we can "split up" the exponent:
t_n=t_1(5)^n(5)^{-1}

We know that 5⁻¹ = 1/5, so this gives us
t_n=t_1(\frac{1}{5})(5)^n&#10;\\&#10;\\=\frac{t_1}{5}(5)^n

Comparing this to our general form, we see that
\frac{t_1}{5}=75

Multiplying by 5 on both sides, we get that
t₁ = 75*5 = 375

The recursive formula for a geometric sequence is given by
t_n=t_{n-1}(r), while we must state what t₁ is; this gives us

t_1=375; t_n=t_{n-1}(5)

3 0
4 years ago
Fernando has a mixed stack of sports
Yakvenalex [24]
Answer: d
explanation: baseball cards already take up half so it cant be a or c because those are more than half and if you add all of the numbers up you would get 40. 15 out if 40 is 3/8 and baseball cards take up 4/8 and football cards take up 1/8 so your answer would be d.
5 0
3 years ago
I need help with number 10 ASAP
anzhelika [568]

i'm 75% sure the answer is C hope this helps


3 0
3 years ago
EASY MATH PLEASE HELP!<br><br> I WILL GIVE BRAINLIEST!<br><br> QUESTION: Find the area.
Verdich [7]

Answer:

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Step-by-step explanation:

6 0
3 years ago
Bottles filled by a certain machine are supposed to contain 12 oz of liquid. In fact the fill volume is random with mean 12.01 o
stepan [7]

Answer:

27.43% probability that the mean volume of a random sample of 144 bottles is less than 12 oz.

Step-by-step explanation:

To solve this problem, it is important 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 random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 12.01, \sigma = 0.2, n = 144, s = \frac{0.2}{\sqrt{144}} = 0.0167

What is the probability that the mean volume of a random sample of 144 bottles is less than 12 oz

This is the pvalue of Z when X = 12

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

By the Central Limit Theorem

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

Z = \frac{12 - 12.01}{0.0167}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743.

So there is a 27.43% probability that the mean volume of a random sample of 144 bottles is less than 12 oz.

4 0
3 years ago
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