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GREYUIT [131]
2 years ago
13

A group of friends are playing a game in which they roll a 4-sided pyramid and pull a marble from a bag of 4 marbles. The faces

of the pyramid are the same size and numbered 1 to 4. Each marble is a different color. The colors are green, blue, orange, and purple. The friend that rolls the number 3 on the pyramid and pulls a blue marble wins a point. The results from the first 12 turns are listed: 4 and blue 1 and blue 3 and orange 2 and green 3 and blue 2 and purple 2 and purple 1 and purple 4 and blue 1 and green 4 and orange 3 and green Compare the theoretical and experimental probability of rolling a 3 on the pyramid and pulling a blue marble by dragging and dropping the descriptions into the box it matches.
Mathematics
1 answer:
Katena32 [7]2 years ago
4 0

Answer:

  • Theoretical Probability of picking a blue Marble and Rolling a 3=\frac{1}{16}
  • Experimental Probability of picking a blue Marble and Rolling a 3=\frac{1}{12}

Step-by-step explanation:

If the friends roll a 4-sided pyramid and pull a marble from a bag of 4 marbles.

<u>THEORETICAL PROBABILITY</u>

P(Picking a blue Marble)=\frac{1}{4}

P(Rolling a 3)=\frac{1}{4}

P(Picking a blue Marble and Rolling a 3)=\frac{1}{4} X \frac{1}{4}=\frac{1}{16}

<u>EXPERIMENTAL PROBABILITY</u>

The outcomes from the first 12 turns are:

  • 4 and blue
  • 1 and blue
  • 3 and orange
  • 2 and green
  • 3 and blue
  • 2 and purple
  • 2 and purple
  • 1 and purple
  • 4 and blue
  • 1 and green
  • 4 and orange
  • 3 and green

n(3 and blue)=1

P(Picking a blue Marble and Rolling a 3)=\frac{1}{12}

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Can we predict how fast a tennis player can hit a serve from the playerâs height? The following computer output and scatterplot
olga_2 [115]

Complete question :

The computer output and scatter plot output pertaining to the question can be found in the attached picture.

Answer:

Kindly check explanation

Step-by-step explanation:

A.) Relationship between height and fastest serve speed :

According to the scatterplot and Correlation Coefficient (R) value which can be obtauned by getting the square root of R²

R = √27.7%

R = 0.5263 = 52.63% ; this depicts a fairly strong positive correlation or relationship between height and fastest serve speed

B.)

Equation of least square regression line :

From the computer output and scatter plot above :

Recall :

y = mx + c

y =predicted variable (s fastest serve)

m= slope

x = predictor variable (height)

c = intercept

y = 84.98x + 68.81

C.) 27.7% of the variation in fastest speed can be explained by height while the remaining percentage is due to other variables

D.) fastest serve of tennis player with height 1.7m

y = 84.98x + 68.81

y = 84.98(1.7) + 68.81

y = 213.276km/hr

E.)

R = √27.7%

R = 0.5263 = 52.63% ; this depicts a fairly strong positive correlation or relationship between height and fastest serve speed

F.)

Height = 2.06m = x

y = 84.98(2.06) + 68.81

y = 243.8688 km/hr

Residual = Actual - predicted

Actual = 230 ; predicted = 243.8688

Residual = 230 - 243.8688

Residual = −13.8688

Hence, the model overestimated fastest serve speed of a 2.06 m tall player by −13.8688 km/hr

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Answer:

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