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3 years ago

Taj had 15 books. He gave some of the books to his friends.

Mathematics

2 answers:

Bess [88]3 years ago

8 0

B - he gave away six books (you find this by subtracting 9 from 15 to find the amount of books that have been moved)

deff fn [24]3 years ago

7 0

The answer is B six books, hope this helps!

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If f(x) =x -6 and g(c) = x ^2 (x+3) find g(x) • f(x)

scoray [572]

Step-by-step explanation:

option a

x^5 -3√x^2 -18√x

5 0

3 years ago

How many cubic centimeters of water can this paper cone cup hold?

Igoryamba

Answer:

150.72 cubic centimeter

Step-by-step explanation:

Given:-

Height of cone (h) = 9cm

Diameter of cone(d)=8cm

radius of cone(r)= $\frac{d}{2}$ = $\frac{8}{2} =4cm$

To calculate= Volume of cone( $V_{cone}$ )

$Volume\ of\ cone(V_{cone}) =\frac{1}{3} \times \pi \times r^{2} \times h$

$=\frac{1}{3} \times 3.14\times 4^{2} \times 9$

Volume of cone( $V_{cone}$ ) $=150.72\ cubic\ centimeter$

Therefore paper cone cup can hold 150.72 cubic centimeter of water.

5 0

3 years ago

Can someone please help me with all 5 of these questions? You don't have to answer all 5 but I would appreciate it if you answer

cupoosta [38]

12 is a
13 is c
14 is d
15 is d
16 is b

7 0

3 years ago

Read 2 more answers

A Roper survey reported that 65 out of 500 women ages 18-29 said that they had the most say when purchasing a computer; a sample

8090 [49]

Answer:

Step-by-step explanation:

Step(i):-

Given first random sample size n₁ = 500

Given Roper survey reported that 65 out of 500 women ages 18-29 said that they had the most say when purchasing a computer.

First sample proportion

$p^{-} _{1} = \frac{65}{500} = 0.13$

Given second sample size n₂ = 700

Given a sample of 700 men (unrelated to the women) ages 18-29 found that 133 men said that they had the most say when purchasing a computer.

second sample proportion

$p^{-} _{2} = \frac{133}{700} = 0.19$

Level of significance = α = 0.05

critical value = 1.96

Step(ii):-

Null hypothesis : H₀: There is no significance difference between these proportions

Alternative Hypothesis :H₁: There is significance difference between these proportions

Test statistic

$Z = \frac{p_{1} ^{-}-p^{-} _{2} }{\sqrt{PQ(\frac{1}{n_{1} } +\frac{1}{n_{2} } )} }$

where

$P = \frac{n_{1} p^{-} _{1}+n_{2} p^{-} _{2} }{n_{1}+ n_{2} } = \frac{500 X 0.13+700 X0.19 }{500 + 700 } = 0.165$

Q = 1 - P = 1 - 0.165 = 0.835

$Z = \frac{0.13-0.19 }{\sqrt{0.165 X0.835(\frac{1}{500 } +\frac{1}{700 } )} }$

Z = -2.76

|Z| = |-2.76| = 2.76 > 1.96 at 0.05 level of significance

Null hypothesis is rejected at 0.05 level of significance

Alternative hypothesis is accepted at 0.05 level of significance

Conclusion:-

There is there is a difference between these proportions at α = 0.05

3 0

3 years ago

Hot chocolate sales and outside temperatures sales $100 $213 $830 $679 $209 $189 $1110 $456 $422 $235 $199 Temperature 92 88 54

Tomtit [17]

Answer:

(A) The scatter plot is attached below.

(B) The outlier is at (189, 16°F).

(D) The dependent variable is sales and independent variable is the temperature.

Step-by-step explanation:

The data provided for Hot chocolate sales and outside temperatures is as follows:

Sales (Y) Temperature (X)

100 92

213 88

830 54

679 62

209 85

189 16

1110 52

456 65

422 68

235 89

199 91

(A)

The scatter plot is attached below.

(B)

A cluster is a collection of points or values at one place.

On the scatter plot there is a cluster of three values between the temperatures 80°F to 100°F.

An outlier is a value that is very different from the other values in a data set. It is either too small or too large.

There is an outlier present in the provided data set.

The outlier is at (189, 16°F).

(C)

The point on the scatter plot are downwards sloping.

This implies that there is a negative relationship between the variables temperature and sales.

Thus, there is a negative correlation.

(D)

Dependent variables are those variables that are under study, i.e. they are being observed for any changes when the other variables in the model are changed.

Independent variables are the variables that are being altered to see a proportionate change in the dependent variable.

In this case the data represents the sales of hot chocolate according to the temperature outside.

So, the dependent variable is sales and independent variable is the temperature.

This is because as the temperature decreases the sales of hot chocolate increases.

8 0

3 years ago