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sveta [45]
3 years ago
14

13) The table below shows

Mathematics
2 answers:
padilas [110]3 years ago
4 0

Answer:

0.09

Step-by-step explanation:

The total number of students is 666

and 60 10th grade students offer algebra 2

60÷666

0.09

Pavel [41]3 years ago
3 0

Answer:

60/257 or .233

Step-by-step explanation:

P (algebra 2 | 10th grade) = # algebra 2 in 10th grade / # 10th graders

Total number of 10th graders = 85 + 100 + 60 + 10 + 2 = 257

Algebra 2 students in 10th grade = 60 (look at the intersection of the 10th  grade column and the algebra 2 row)

P (algebra 2 | 10th grade) = <u>60/257</u>

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In ΔABC, which trigonometric ratio equals 32?
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And

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A researcher collected data on the hours of TV watched per day from a sample of five people of different ages. Here are the resu
frozen [14]

Answer:

1. The least squares regression is y = -0.1015·x + 6.51

2. The independent variable is b) age

Please see attached table

Step-by-step explanation:

The least squares regression formula is given as follows;

\dfrac{\sum_{i = 1}^{n}(x_{i} - \bar{x})\times \left (y_{i} - \bar{y}  \right ) }{\sum_{i = 1}^{n}(x_{i} - \bar{x})^{2}}

We have;

\bar x = 24

\bar y = 4

\Sigma (x_i - \bar x) (y_i - \bar y) = -79

\Sigma (x_i - \bar x)^2 = 778

\therefore \hat \beta =\dfrac{\sum_{i = 1}^{n}(x_{i} - \bar{x})\times \left (y_{i} - \bar{y}  \right ) }{\sum_{i = 1}^{n}(x_{i} - \bar{x})^{2}} = \frac{-79}{778} = -0.1015

The least squares regression is y = -0.1015·x + α

∴ α = y  -0.1015·x = 6 - (-0.1015 × 5) = 6.51

The least squares regression is thus;

y = -0.1015·x + 6.51

2. The independent variable is the age b)

3. Steps to create an ANOVA table with α = 0.05

The overall mean = (43  + 30  + 22  + 20  + 5  + 1  + 6  + 4  + 3  + 6 )/10 = 14

There are 2 different treatment = df_{treat} = 2 - 1 = 1

There are 10 different treatment measurement = df_{tot} = 10 - 1 = 9

df_{res} = 9 - 1 = 8

df_{treat} + df_{res} = df_{tot}

The estimated effects are;

\hat A_1 = 24 - 14 = 10

\hat A_2 = 4 - 14 = -10

SS_{treat} = 10^2 \times 5 + (-10)^2 \times 5 =1000

\sum_{i}\SS_{row}_i = \sum_{i}\sum_{j} (y_{ij} - \bar y)= [(1 - 4)^2 + (6 - 4)^2 + (4 - 4)^2 + (3 - 4)^2 + (6 - 4)^2] = 18

\sum_{i} S S_{row}_i = \sum_{i}\sum_{j} (y_{ij} - \bar y) ^2= [(43 - 24)^2 + (30 - 24)^2 + (22 - 24)^2 + (20 - 24)^2 + (5 - 24)^2] = 778

S S_{res} = \sum_{i} S S_{row}_i = 778 + 18 = 796

SS_{tot} = (43  - 14)² + (30  - 14)² + (22  - 14)² + (20  - 14)² + (5  - 14)² + (1 - 14)1² + (6  - 4 )² + (3  - 14)² + (6  - 14)² = 1796

MS_{treat} = \dfrac{SS_{treat} }{df_{treat} } = \dfrac{1000}{1} = 1000

MS_{res} = \dfrac{SS_{res} }{df_{res} } = \dfrac{796}{8} = 99.5

F- value is given by the relation;

F = \dfrac{MS_{treat} }{MS_{res} } = \frac{1000}{99.5} = 10.05

We then look for the critical values at degrees of freedom 1 and 8 at α = 0.05 on the F-distribution tables 5.3177

Hence; F = 10.05 > F_{1,8}^{Krit}(5\%) = 5.3177, we reject the null hypothesis.

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How does changing the number outside the parentheses of an exponential function change your graph? y = a(b)^x
Zarrin [17]

Answer:

See Below.

Step-by-step explanation:

We have the function:

y=a(b)^x

Depending on the behavior of the coefficient, many things can happen. The parent exponential function has a=1. If a is something other than 1, however, there are three main changes.

Let’s use b=2 to illustrated the examples.

(In the graphed examples, below, the parent function (with b=2) is the red curve.)

  • If <em>a</em> is a positive, rational number greater than 1.

If a is a positive number other than 1, say 2, then this represents a vertical stretch.

In other words, our function is stretched closer to the y-axis.

(This is the blue curve. It is closer to the y-axis than the parent function (red curve).)

  • If <em>a</em> is a positive, rational number greater than 0 but less than 1.

If a is a number between 0 and 1 (so a fraction), say, 1/2, then this represents vertical compression.

In other words, our function gets farther away from the y-axis.

(This is the black curve.)

  • If <em>a </em>is a negative.

If a is <em>negative</em>, then this means that the graph was flipped over the x-axis.

(This is the green curve.)

Note that if we have something such as a=-2 or a=-1/2, this means that the function we flipped over the x-axis first and <em>then</em> vertically stretched or compressed.

(And example of this is illustrated with the orange curve).

3 0
3 years ago
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