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pantera1 [17]
3 years ago
15

The heights of women aged 20 to 29 are approximately normal with mean 64 inches and standard deviation 2.7 inches. men the same

age have mean height 69.3 inches with standard deviation 2.8 inches. what are the z-scores for a woman 6 feet tall and a man 6 feet tall? what information do the z-scores give that the actual heights do not?
Mathematics
1 answer:
Artyom0805 [142]3 years ago
5 0
<span>To find the z-scores, find the difference in the number of inches for each value from the mean and then divide that by the standard deviation. For women at 72 inches (6'), this would be (72-64) / 2.7, or a z-score of +2.963. For a male at 72 inches, this would be (72-69.3)/2.8, or +0.964. This shows that the woman at 6 feet tall is more rare in the distribution than a man at 6 feet tall.</span>
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A store offers four different brands of a product. It decides to eliminate the brand that is most likely to be returned. The tab
STatiana [176]

Answer: brand C

Step-by-step explanation:

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6 0
3 years ago
Determine the product, h (x), of the linear and quadratic factors.
Wewaii [24]

h(x) =8x^3-19x^2+14x-3

Step-by-step explanation:

Given functions are:

f(x) = 8x-3\\g(x) = (x-1)^2

h(x)  is the product of g(x) and f(x)

h(x) = f(x) * g(x)\\= (8x-3)(x-1)^2\\= (8x-3)(x^2-2x+1)\\= 8x(x^2-2x+1)-3(x^2-2x+1)\\= 8x^3-16x^2+8x-3x^2+6x-3

Combining like terms

=8x^3-16x^2-3x^2+8x+6x-3\\=8x^3-19x^2+14x-3

Hence,

h(x) =8x^3-19x^2+14x-3

Keywords: Functions, product

Learn more about functions at:

  • brainly.com/question/8054589
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8 0
3 years ago
I need help please. I don't understand
Viktor [21]

Answer:

  a.  y = 0.56x -17.78 . . . . y = Celsius temperature; x = Fahrenheit temperature

  b.  37.436 °C

  c.  interpolation

  d.  83.2 °F

Step-by-step explanation:

a. In most cases, finding the linear regression equation that fits a table of data involves somewhat tedious calculations best performed by a calculator or computer. The general approach is to enter the data into the necessary list(s) or table, and invoke the necessary function.

In Microsoft Excel (and many other spreadsheet programs), you can chart the data in the usual way, then choose the option to add the regression equation to the chart.

In the Desmos calculator used here, the data can be entered into a table, and a generic equation written relating the table entries. Any unknown constants in the equation are computed by Desmos so as to maximize the correlation between the equation and the data. Using a linear equation results in a linear regression computation.

This calculator tells us what we should already know (from previous knowledge of Fahrenheit–Celsius conversion).

  y ≈ 0.56x -17.78

(We already know the actual conversion is y = (5/9)(x -32) = (5/9)x -(17 7/9). The above is what you get when the numbers are rounded to hundredths, as required by this problem.)

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b. Using the above equation for x=98.6, we get

  y = 0.56·98.6 -17.78 = 55.216 -17.78 = 37.436 . . . °C

___

c. Since we're finding a value <em>between</em> values already in the table, the process is called interpolation. (Extrapolation is used to find values beyond those that are already in the table. The prefixes <em>inter</em>- (between) and <em>extra</em>- (beyond) can help you remember what these terms mean.)

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d. In this part, we're asked to find x that corresponds to y=28.8. We fill in the value and solve.

  28.8 = 0.56x -17.78

  46.58 = 0.56x . . . . . . add 17.78

  46.58/0.56 = x ≈ 83.179 ≈ 83.2 . . . . . divide by the coefficient of x; round appropriately. Units are °F.

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4 years ago
Sandra bought 3 pounds of NUTS for $10.35. what is the price per pound
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N= pounds of nuts

3n= 10.35
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3 years ago
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kifflom [539]
The answer is b my guy
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3 years ago
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