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erastovalidia [21]
3 years ago
13

The amount of time x in hours spent each week watching television by children under twelve is normally distributed with mean 24.

5 hours and standard deviation 6.23 hours. The percentage that a randomly selected child spends at least 30 hours each week watching television is about:
Mathematics
1 answer:
oee [108]3 years ago
8 0

Answer:

18.867%

Step-by-step explanation:

We solve using z score formula

z = (x-μ)/σ, where

x is the raw score = 30 hours

μ is the population mean = 24.5 hours

σ is the population standard deviation = 6.23 hours

z = 30 - 24.5 /6.23

z = 0.88283

Probability value from Z-Table:

P(x<30) = 0.81133

The percentage that a randomly selected child spends at least 30 hours each week watching television is calculated as:

At least 30 hours = 30 hours or more = ≥ 30

Hence,

P(x>30) = 1 - P(x<30)

= 1 - 0.81133

= 0.18867

Converting to percentage

0.18867 × 100

= 18.867%

The percentage that a randomly selected child spends at least 30 hours each week watching television is 18.867%

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In this problem, we have the vertical leg as 16, the horizontal leg as x, and the hypotenuse as 20. Therefore, we can say that
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Question 3 (Essay Worth 10 points)
elena-14-01-66 [18.8K]

It's not an accurate value for the data based on the scatter plot, r = 0.01 is not an accurate value for this data, because 0.01 means practically no correlation, while the points on the graph are moderately correlated

<h3>How to illustrate the information?</h3>

1. Part A:

Since the points in the scatter plot shows a moderated upward trend, you must expect a correlation coefficient close to ± 0.5. A correlation coefficient of 0.01 is too close to 0, which would mean that the points are almost not correlated at all.

The correlation coefficients, r, measure the strength of the correlation of two variables and they can have values from - 1 to  1.

Here, r = - 1 is a perfect negative correlation as the points will adjust perfectly to a line with a negative slope.

r =  + 1 is a perfect positive correlation: the points will adjust perfectly to a line with a positive slope.

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2. Part B.

A causal relationship means that the explanatory variable (the independent variable) is the cause of the dependent variable.

Hence, you must find a reasonable variable that can be the cause of the number of strawberries picked.

Thus, the scenario could be:

Amount of rainfall in mm (x)         Number of strawberries picked (y)

      100                                                     20

        50                                                     40

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        6.25                                                 320

The amount of rainfall is the cause of the number of strawberries picked, and you could find a model that relates both variables.

Learn more about scatter plot on:

brainly.com/question/6592115

#SPJ1

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