What percent of 80 is 3.2

Mathematics

2 answers:

abruzzese [7]3 years ago

5 0

Its 4% do i get brainiest???

dalvyx [7]3 years ago

5 0

80 divided by 3.2 =4% Hope it helps

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`H_0: p = 0.63`

Aneli [31]

The test statistic, rounded to 2 decimal places is equal to

<h3>How to calculate value of the test statistic?</h3>

For this sample, the hypothesis is given by:

H₀: μ₁ ≤ μ₂

H₁: μ₁ > μ₂

Assuming this sample has a normal distribution, we would use a pooled z-test to determine the value of the test statistic:

Substituting the given parameters into the formula, we have;

$z = \frac{\frac{96}{150} \;-\;0.63}{\sqrt{0.63\; +\; \frac{1\;-\;0.63}{150}} }\\\\z = \frac{0.64 \;-\;0.63}{\sqrt{0.63\; +\; \frac{0.37}{150}}}\\\\z = \frac{0.01}{\sqrt{0.63\; +\; 0.0025}}\\\\z = \frac{0.01}{\sqrt{0.6325}}\\\\$

z = 0.01/0.7953

z = 0.013.

Read more on test statistic here: brainly.com/question/14839648

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7 0

2 years ago

At a bake sale there were 104 items sold total. If 32 of the items sold were cookies and the rest were brownies what is the rati

hoa [83]

104 total - 32 cookies = 72 brownies.

Ratio of A to B is A/B.

So ratio of brownies to cookies is 72 brownies / 32 cookies = 2.25

7 0

4 years ago

Read 2 more answers

Suppose the life of a particular brand of laptop battery is normally distributed with a mean of 8 hours and a standard deviation

Ierofanga [76]

Answer:

4.75% probability that the battery will last more than 9 hours before running out of power

Step-by-step explanation:

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.

In this problem, we have that:

$\mu = 8, \sigma = 0.6$