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vaieri [72.5K]
2 years ago
7

A company monitored the number of major and minor earthquakes that occurred in a town. The graph below shows the number of month

ly earthquakes in the town over 36 months.
The function describing this graph is a transformation of the parent sine function, y = sin x.

Which value best describes the period of the transformed function?

Mathematics
2 answers:
lara31 [8.8K]2 years ago
7 0

Answer:

Your answer is C) Twelve Months.

ANTONII [103]2 years ago
3 0

Answer:

C

Step-by-step explanation:

The period of a sine function can be found by looking at the argument.

In the equation y = Sin (ax), ax is the argument, and period is 360/a.

For the function shown, y = Sin x, the period is 360/1 = 360. This means that the period is the number of months it takes to complete one cycle of the graph (take one point in the graph and run along the curve until the same point is reached).

<em>If we take January as the first point (y = 40) and run along until i come to same point, we are back to next years' January. Hence, the period is 12 months. </em><em>Answer choice C is right.</em>

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In 2012, on average, about $9.46\times10^{-1}$ pound of potatoes was produced for every $2.3\times10^{-5}$ acre harvested. How m
muminat

Answer:

4.113 × 10⁴ pounds per acre = 41,130 pounds per acre to the nearest pounds per acre

Step-by-step explanation:

9.46 × 10⁻¹ pounds of potatoes were produced for every 2.3 × 10⁻⁵ acre harvested. The average pounds of potatoes harvested per acre would be pounds of potatoes/acres harvested =  9.46 × 10⁻¹ pounds/2.3 × 10⁻⁵ acre = 4.113 × 10 ⁻¹⁻⁻⁵ = 4.113 × 10⁵⁻¹ = 4.113 × 10⁴ pounds per acre = 41,130 pounds per acre to the nearest pounds per acre.

6 0
2 years ago
A reporter for a large sports television network wants to determine if "homefield advantage" is dependent upon the sport. He col
Ne4ueva [31]

Answer:

with 0.10 level of significance the P-VALUE that would be used in the hypothesis claim is 0.05%

Step-by-step explanation:

In hypothesis testing in statistics, we can say that the p-value is a probability of obtaining test results when we assume that the null hypothesis is correct.

The p-value is the probability that the null hypothesis is true.

A p-value less than or equals to 0.05  is statistically significant. It shows strong evidence against the null hypothesis, meaning  there is less than a 5% probability the null is correct and clearly we can say that the results are random.

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2 years ago
Aaron drew the figure below for a school art project. What is the total area of the figure. Use the drop down menus to complete
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Answer:

The trapezoid has a height of 3 inches, a shorter base measuring 2.75 inches, and a longer base measuring 4.25 inches. The total area of the entire figure is 33 square inches.

Step-by-step explanation:

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2 years ago
Read 2 more answers
Use the Midpoint Formula three times to find the three points that divide the line segment joining (x1, y1) and (x2, y2) into fo
fredd [130]
We are given points A(x_1,y_1) and B(x_2,y_2). 

We first find the midpoint M, of AB, which divides the segment AB into 2 equal parts, 

then we find the midpoint N of AM, and midpoint K of MB.

Thus each of the half parts is divided into 2 equal parts. The whole segment is divided into 4 equal parts.




The coordinates of M, N and K are found as follows:


the coordinates of M are: ( \frac{x_1+x_2}{2} , \frac{y_1+y_2}{2})


the coordinates of N are: 

\displaystyle{( \frac{x_1+\frac{x_1+x_2}{2}}{2} , \frac{y_1+\frac{y_1+y_2}{2}}{2})=( \frac{\frac{2x_1+x_1+x_2}{2}}{2} , \frac{\frac{2y_1+y_1+y_2}{2}}{2})

=\displaystyle{(\frac{3x_1+x_2}{4}, \frac{3y_1+y_2}{4})}


similarly, the coordinates of k are:

=\displaystyle{(\frac{x_1+3x_2}{4}, \frac{y_1+3y_2}{4})}


6 0
2 years ago
A researcher gathers data on the length of essays​ (number of​ lines) and the SAT scores received for a sample of students enrol
LenaWriter [7]

Answer:

(C) The slope of the regression equation is not significantly different from zero

Step-by-step explanation:

Let's suppose that we have the following linear model:

y= \beta_o +\beta_1 X

Where Y is the dependent variable and X the independent variable. \beta_0 represent the intercept and \beta_1 the slope.

In order to estimate the coefficients \beta_0 ,\beta_1 we can use least squares estimation.

If we are interested in analyze if we have a significant relationship between the dependent and the independent variable we can use the following system of hypothesis:

Null Hypothesis: \beta_1 = 0

Alternative hypothesis: \beta_1 \neq 0

Or in other wouds we want to check is our slope is significant.

In order to conduct this test we are assuming the following conditions:

a) We have linear relationship between Y and X

b) We have the same probability distribution for the variable Y with the same deviation for each value of the independent variable

c) We assume that the Y values are independent and the distribution of Y is normal

The significance level is provided and on this case is \alpha=0.05

The standard error for the slope is given by this formula:

SE_{\beta_1}=\frac{\sqrt{\frac{\sum (y_i -\hat y_i)^2}{n-2}}}{\sqrt{\sum (X_i -\bar X)^2}}

Th degrees of freedom for a linear regression is given by df=n-2 since we need to estimate the value for the slope and the intercept.

In order to test the hypothesis the statistic is given by:

t=\frac{\hat \beta_1}{SE_{\beta_1}}

The confidence interval for the slope would be given by this formula:

\hat \beta_1 + t_{n-2, \alpha/2} \frac{\sqrt{\frac{\sum (y_i -\hat y_i)^2}{n-2}}}{\sqrt{\sum (X_i -\bar X)^2}}

And using the last formula we got that the confidence interval for the slope coefficient is given by:

-0.88 < \beta_1

IF we analyze the confidence interval contains the value 0. So we can conclude that we don't have a significant effect of the slope on this case at 5% of significance. And the best option would be:

(C) The slope of the regression equation is not significantly different from zero

6 0
2 years ago
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