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PtichkaEL [24]
3 years ago
13

Solve the inequality graphically. 4x^2-13x+7<0

Mathematics
1 answer:
Feliz [49]3 years ago
6 0

Answer:

Step-by-step explanation:

(\frac{13 - \sqrt{57} }{8} , \frac{13 + \sqrt{57} }{8} )

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Find the total number of diagonals in a regular nonagon.
anastassius [24]

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7

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3 0
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The table below shows the number of shoppers at Jacob's store over a period of five months:
Olin [163]

We are given table

Month :         1     2        3         4         5

Shoppers:   50  250   1250   6250  3250

so, we have

first term =50

a_1=50

Second term =250

a_2=250

Third term =1250

a_3=1250

a_4=6250

a_5=31250

now, we can find ratios

\frac{a_2}{a_1} =\frac{a_3}{a_2}=\frac{a_4}{a_3}=\frac{a_5}{a_4}=5

we can see that all ratios are same and 5

so, this is exponential

so, option-D..........Answer



3 0
3 years ago
Read 2 more answers
math problem Just before a referendum on a school budget, a local newspaper polls 400 voters in an attempt to predict whether th
Readme [11.4K]

Answer:

The conditions necessary for the analysis are met.

The probability the newspaper’s sample will lead them to predict defeat is 0.7881

Step-by-step explanation:

We are given;

population proportion; μ = 52% = 0.52

Sample size;n = 400

The conditions are;

10% conditon: sample size is less than 10% of the population size

Success or failure condition; np = 400 x 0.52 = 208 and n(1 - p) = 400(1 - 0.52) = 192.

Both values are greater than 10

Randomization condition; we assume that the voters were randomly selected.

So the conditions are met.

Now, the standard deviation is gotten from;

σ = √((p(1 - p)/n)

where;

p is the population proportion

n is the sample size

σ is standard deviation

Thus;

σ = √((0.52(1 - 0.52)/400)

σ = √((0.52(0.48)/400)

σ = 0.025

Now to find the z-value, we'll use;

P(p^ > 0.5) = P(z > (x - μ)/σ)

Thus;

P(p^ > 0.5) = P(z > (0.5 - 0.52)/0.025)

This gives;

P(p^ > 0.5) = P(z > - 0.8)

This gives;

P(p^ > 0.5) = 1 - P(z < -0.8)

From the table attached we have a z value of 0.21186

Thus;

P(p^ > 0.5) = 1 - 0.21186 = 0.7881

Thus, the probability the newspaper’s sample will lead them to predict defeat is 0.7871

8 0
3 years ago
Read 2 more answers
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