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Elina [12.6K]
1 year ago
11

Look at the middle 7 in the decimal 0.777. How is its value related to the value of the 7 to its left? To the value of the 7 to

its right?
Mathematics
1 answer:
masya89 [10]1 year ago
5 0

Answer:

Value of middle 7 = \frac{1}{10}(value of 7 to the left of the middle 7)

Value of middle 7 = 10(value of 7 to the right of the middle 7)

Step-by-step explanation:

7 in the middle of number 0.777 is equal to \frac{7}{100}

7 to the left of the middle 7 is equal to \frac{7}{10}

So,

\frac{7}{100}=(\frac{1}{10}) \frac{7}{10}

That is value of middle 7 = \frac{1}{10}(value of 7 to the left of the middle 7)

Also,

7 to the right of the middle 7 is equal to \frac{7}{1000}

So,

\frac{7}{100}=(10) \frac{7}{1000}

That is value of middle 7 = 10(value of 7 to the right of the middle 7)

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Data on average high temperatures​ (in degrees​ Fahrenheit) in July and precipitation​ (in inches) in July for 48 cities is used
wel

Answer:

Explained below.

Step-by-step explanation:

The regression equation to predict amount of precipitation​ (in inches) in July from the average high temperatures​ (in degrees​ Fahrenheit) in July is as follows:

PRECIP​ = 2.0481​ + 0.0067 HIGH

(1)

The value of the slope of the regression line is, 0.0067.

(2)

The predictor variable in this context is the average high temperatures​ (in degrees​ Fahrenheit) in July.

(3)

The response variable in this context is the amount of precipitation​ (in inches) in July.

(4)

The slope of a regression line is average rate of change in the dependent variable with one unit change in the independent variable.

The slope here is 0.0067.

This value implies that the average rate of change in the amount of precipitation​ (in inches) in July increases by 0.0067 inches with every 1°F increase in the average high temperatures​.

(5)

Compute the mount of precipitation for a city that has an average high temperature in July of 87.31°F  as follows:

PRECIP​ = 2.0481​ + 0.0067 HIGH

             = 2.0481​ + 0.0067 × 87.31°F

             = 2.633077

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Answer:

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b) P-value = 0.2207

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d) P-value = 0.0040

e) P-value = 0.5636

Step-by-step explanation:

As the hypothesis are defined with a ">" sign, instead of an "≠", the test is right-tailed.

For this type of test, the P-value is defined as:

P-value=P(z>z^*)

being z* the value for each test statistic.

The probability P is calculated from the standard normal distribution.

Then, we can calculate for each case:

(a) 1.30

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(b) 0.77

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(d) 2.65

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