The following bar graph shows the amount of time Latisha participated in an exercise program over a four-week period. If Latisha
wants to make the increase over time appear larger, what could she do to the graph?
a. use a smaller range on the vertical scale
b. use a larger range on the vertical scale
c. use different colored bars
a. use a smaller range on the vertical scale
b. use a larger range on the vertical scale
c. use different colored bars
2 answers:
Answer:
The bar graph is given ,which shows the amount of time Latisha participated in an exercise program over a four-week period.
If amount of exercising , that is increase over time appear larger
She must use a larger range on the vertical scale.There will be no change in width of bar graph, as coloring the bar graph with different color will make no sense.
Pictorial representation of this problem is depicted below:
Option (B) is true.Use a larger range on the vertical scale.
This answer is correct in the sense that , if time of exercise increases,
Otherwise, if you increase the width between two whole numbers, the graph will appear larger.That is between if width between 0 to 1 is 1 cm than increase it by 1.5 cm or 2 cm, that will make the bar graph larger.
You might be interested in
Answer:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solutio to the problem
Let X the random variable that represent the amount of beer in each can of a population, and for this case we know the distribution for X is given by:
Where and
For this case we select 6 cans and we are interested in the probability that the total would be less or equal than 72 ounces. So we need to find a distribution for the total.
The definition of sample mean is given by:
If we solve for the total T we got:
For this case then the expected value and variance are given by:
And the deviation is just:
So then the distribution for the total would be also normal and given by:
And we want this probability:
And we can use the z score formula given by: