The correct statements are:
- the volume of the yellow candle is about 46.05 inches cubed.
- the radius of the yellow candle is 2 in
- he base area of the yellow candle is about 6.28 inches squared.
- the price of one yellow candle is about $16.12.
<h3>
What are the correct statements?</h3>
Volume of a cone = 1/3(πr²h)
- π = 3.14
- r = radius = diameter / 2 = 4/2 = 2 inches
- h = height
Volume of a cone = 1/3 x 2² x 11 x 3.14 = 46.05 inches cubed.
Base area = πr²
3.14 x 4 = 12.56 inches squared.
Price of one yellow candle = volume x price per cubic unit
46.05 x $0.35 = $16.12
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Answer:
Mean = 30516.67
Standard deviation, s = 3996.55
P(x < 27000) = 0.0011518
Step-by-step explanation:
Given the data:
28500 35500 32600 36000 34000 25700 27500 29000 24600 31500 34500 26800
Mean, xbar = Σx / n = 366200 /12 = 30516.67
Standard deviation, s = [√Σ(x - xbar) / n-1]
Using calculator, s = 3996.55
The ZSCORE = (x - mean) / s/√n
Zscore = (27000 - 30516.67) / (3996.55/√12)
Zscore = - 3516.67 / 1153.7046
Zscore = - 3.048
P(x < 27000) = P(Z < - 3.049) = 0.0011518
The y-intercept is 3...when plottibg this plot 3 first then use -8x (-8/1) as your slope form your y-intercept going both directions.
Answer:
Step-by-step explanation:
The probability of observing the experiment result, a sample mean, for example, or something more unusual just by chance if the null hypothesis is true is the definition of "P-Value."
<h3>What is null hypothesis?</h3>
A null hypothesis is a sort of statistical hypothesis which asserts that there is no statistical significance in a particular set of observations.
Using sample data, hypothesis testing is performed to determine the believability of a theory. It really is expressed as H0 and is also known to simply as "null."
Some key features regarding null hypothesis are-
- A null hypothesis is a statistical conjecture that claims there is no variation between particular qualities of a population and data-generating process.
- The alternate hypothesis asserts the existence of a distinction.
- Hypothesis testing allows you to reject the null hypothesis with a particular level of confidence.
- If the null hypothesis can be rejected, it lends support to the alternative hypothesis.
- The notion of falsity in science is founded on null hypothesis testing.
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