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aev [14]
3 years ago
9

Hailey went to the market and bought 5 pounds of coffee that costs $2 a pound. She also purchased 2/3 pounds of lunch meat that

cost $9 a pound . How much did Hailey spend at the market?
please help TVT​
Mathematics
1 answer:
Firdavs [7]3 years ago
6 0

Answer:

$16

Step-by-step explanation:

$2 x 5 = $10

1 pound = $9

2/3 = $6

10+6=16

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James is employed at Chase Bank and makes $32,000 annually. If 20% of his income goes to housing, how much does he spend on hous
alisha [4.7K]

Answer:

$6,400

Step-by-step explanation:

1) 20% of 32,000 goes to housing!

This can be written as 0.2 times 32,000

The value of: 0.2 x 32,000 equals 6,400!

That would be your answer ($6,400)

4 0
3 years ago
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Ok, now i need help from 1-5, 20 points
ratelena [41]

1 = 8

2=3+8

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4=9

8 that's it bra



5 0
3 years ago
What is i^84? a) -i b) i c) -1 d) 1
mariarad [96]

Answer:

D) 1

Step-by-step explanation:

When you start raising i to certain powers, you begin to notice a pattern.

i^1=i \\\\i^2=-1 \\\\i^3=-i \\\\i^4=1 \\\\i^5=i \\\\ i^6=-1 \\\\ i^7=-i \\\\i^8= 1

This cycle repeats forever. Since 84 is a multiple of 4, i^84 must be 1. Hope this helps!

7 0
3 years ago
Suppose that you take a sample of 250 adults. If the population proportion of adults who watch news videos is 0.58​, what is the
aliina [53]

Answer:

0.36% probability that fewer than half in your sample will watch news​ videos

Step-by-step explanation:

To solve this question, i am going to use the binomial approximation to the normal.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 250, p = 0.58

So

\mu = E(X) = 250*0.58 = 145

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{250*0.58*0.42} = 7.80

If the population proportion of adults who watch news videos is 0.58​, what is the probability that fewer than half in your sample will watch news​ videos

Half: 0.5*250 = 125

Less than half is 124 or less

So this is the pvalue of Z when X = 124

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

Z = \frac{124 - 145}{7.8}

Z = -2.69

Z = -2.69 has a pvalue of 0.0036

0.36% probability that fewer than half in your sample will watch news​ videos

8 0
3 years ago
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Length width and height is 3 units
weqwewe [10]

Answer:

just three units no other numbers?

Step-by-step explanation:

5 0
3 years ago
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