only the bot can solve this problem.
Jared drew a scatter plot comparing the number of hours worked and the amount of money earned over the course of a week. He graphed the ordered pairs (number of hours, amount paid) for each day worked. Which of the three scatter plots below most likely represents the data?%0D%0A%0D%0AI. %0D%0AII. %0D%0AIII. %0D%0A (1 point)%0D%0A%09I%0D%0A%09II%0D%0A%09III%0D%0A%09none of these
As an AI language model, I do not have access to the scatter plot that Jared drew. Therefore, I cannot determine which of the three scatter plots most likely represents the data. Can you please provide more information or the actual scatter plot for me to analyze?
I. %0D%0AII. %0D%0AIII. can you do any thing with that?
Unfortunately, I am unable to analyze these three options without any additional information or the actual scatter plot. Can you please provide more context or the scatter plot itself for me to provide a more accurate answer?
The following graph shows the number of customers who purchased something from a store in September and October. What is misleading about the graph?%0D%0A%0D%0A (1 point)%0D%0A%09The bars do not touch.%0D%0A%09The intervals on the vertical axis between 200 and 207 are not even.%0D%0A%09The graph exaggerates the difference in the number of customers between September and October.%0D%0A%09The graph is not misleading.
The misleading aspect of the graph is:
- The graph exaggerates the difference in the number of customers between September and October.
The vertical axis does not start at zero, which distorts the scale and makes the difference between the bars appear larger than it actually is. By starting the axis at 200, the difference between the bars is exaggerated visually. This is an example of a misleading graph because the way the data is presented can lead viewers to draw incorrect conclusions about the data being presented.
Erica found the mean of the yearly incomes of a sample of households in her hometown as shown in the chart below. In a report, she stated, “The typical income in my neighborhood is about $81,500 per year.” How is this misleading?%0D%0A%0D%0A $35,000%09 $25,000%09 $28,000%09 $30,000%09 $35,000%0D%0A $225,000%09 $18,000%09 $12,000%09 $25,000%09 $26,000%0D%0A $390,500%09 $16,250%09 $320,325%09 $22,000%09 $29,500%0D%0A $32,300%09 $22,200%09 $18,500%09 $30,500%09 $290,000%0D%0A (1 point)%0D%0A%09The mean of the data is not about $81,500.%0D%0A%09Erica’s statement is not misleading.%0D%0A%09The mean is not a good measure of the incomes because a few higher incomes pull the mean higher than most of the household incomes.%0D%0A%09The mean is not a good measure of the incomes because the lower incomes pull the mean lower than most household incomes.
The statement "The typical income in my neighborhood is about $81,500 per year" is misleading because the mean is not an appropriate measure of a typical income when the income distribution is skewed like the one shown in the chart. It appears that there are only a few households with income significantly higher than the others, which could skew the mean higher than most household incomes. A more appropriate measure of a typical income would be the median, which is not affected by outliers in the same way as the mean. Therefore, Erica's statement is misleading as the mean is not a good measure of typical income for this skewed dataset. The correct answer is:
- The mean is not a good measure of the incomes because a few higher incomes pull the mean higher than most of the household incomes.
A transportation researcher decided to record the number of miles that employees of a large company drove to work each day. The frequency table below displays the data. Which histogram represents the data? # of Miles Tally Frequency 0–5 3 6–10 8 11–15 8 16–20 8 21–25 5 26–30 3 (1 point) The horizontal axis is labeled # of Miles. It is divided into six partitions. The first partition extends from 0 to 5 on the x-axis. The second partition extends from 5 to 10 on the x-axis. The third partition extends from 10 to 15 on the x-axis. The fourth partition extends from 15 to 20 on the x-axis. The fifth partition extends from 20 to 25 on the x-axis. The sixth partition extends from 25 to 30 on the x-axis. The vertical axis is labeled Frequency. It is numbered from 0 to 8 with a step size of 2. Six rectangles or bars are shown. The rectangle spanning the 0 to 5 partition has a height of 3. The rectangle spanning the 5 to 10 partition has a height of 8. The rectangle spanning the 10 to 15 partition has a height of 8. The rectangle spanning the 15 to 20 partition has a height of 8. The rectangle spanning the 20 to 25 partition has a height of 5. The rectangle spanning the 25 to 30 partition has a height of 3. The horizontal axis is labeled # of Miles. It is divided into six partitions. The first partition extends from 0 to 5 on the x-axis. The second partition extends from 5 to 10 on the x-axis. The third partition extends from 10 to 15 on the x-axis. The fourth partition extends from 15 to 20 on the x-axis. The fifth partition extends from 20 to 25 on the x-axis. The sixth partition extends from 25 to 30 on the x-axis. The vertical axis is labeled Frequency. It is numbered from 0 to 8 with a step size of 2. Six rectangles or bars are shown. The rectangle spanning the 0 to 5 partition has a height of 2. The rectangle spanning the 5 to 10 partition has a height of 8. The rectangle spanning the 10 to 15 partition has a height of 8. The rectangle spanning the 15 to 20 partition has a height of 4. The rectangle spanning the 20 to 25 partition has a height of 5. The rectangle spanning the 25 to 30 partition has a height of 3. The horizontal axis is labeled # of Miles. It is divided into five partitions. The first partition extends from 5 to 10 on the x-axis. The second partition extends from 10 to 15 on the x-axis. The third partition
extends from 15 to 20 on the x-axis. The fourth partition extends from 20 to 25 on the x-axis. The fifth partition extends from 25 to 30 on the x-axis. The vertical axis is labeled Frequency. It is numbered from 0 to 8 with a step size of 2. Five rectangles or bars are shown. The rectangle spanning the 5 to 10 partition has a height of 5. The rectangle spanning the 10 to 15 partition has a height of 8. The rectangle spanning the 15 to 20 partition has a height of 4. The rectangle spanning the 20 to 25 partition has a height of 5. The rectangle spanning the 25 to 30 partition has a height of 3.
The histogram that represents the data is:
- The horizontal axis is labeled # of Miles. It is divided into six partitions. The first partition extends from 0 to 5 on the x-axis. The second partition extends from 5 to 10 on the x-axis. The third partition extends from 10 to 15 on the x-axis. The fourth partition extends from 15 to 20 on the x-axis. The fifth partition extends from 20 to 25 on the x-axis. The sixth partition extends from 25 to 30 on the x-axis. The vertical axis is labeled Frequency. It is numbered from 0 to 8 with a step size of 2. Six rectangles or bars are shown. The rectangle spanning the 0 to 5 partition has a height of 3. The rectangle spanning the 5 to 10 partition has a height of 8. The rectangle spanning the 10 to 15 partition has a height of 8. The rectangle spanning the 15 to 20 partition has a height of 8. The rectangle spanning the 20 to 25 partition has a height of 5. The rectangle spanning the 25 to 30 partition has a height of 3.
This histogram correctly represents the frequency distribution of the number of miles driven by employees of a large company to work each day as given in the frequency table.
Which is the best display for the set of the number of daily 911 calls made during a month, if you want to be able to identify the mode? (1 point)%0D%0A%09histogram with intervals of 5%0D%0A%09histogram with intervals of 3%0D%0A%09line plot%0D%0A%09line graph
The best display for the set of the number of daily 911 calls made during a month if you want to be able to identify the mode is a:
- Histogram with intervals of 3.
A histogram is a graph that displays the distribution of a continuous variable. By constructing a histogram with small intervals, such as intervals of 3, we can see the individual values of the data and identify the mode easily. The mode is the value that occurs most frequently in the data set. Therefore, a histogram with small intervals is the best display to identify the mode of the set of the number of daily 911 calls made during a month.
Kendall asked 40 randomly-selected seniors at his high school about their plans for after they graduated. Twenty-nine students said they planned to go to college. If there are 380 seniors at Kendall’s high school, estimate the number who plan to go to college. (1 point)%0D%0A%09245%0D%0A%09275%0D%0A%09310%0D%0A%09330
We can use proportion to estimate the number of seniors who plan to go to college:
Number of seniors who plan to go to college / Total number of seniors = Number of sampled seniors who plan to go to college / Total number of sampled seniors
Let's fill in the given values:
Number of seniors who plan to go to college / 380 = 29 / 40
We can solve for the unknown value, which is the number of seniors who plan to go to college:
Number of seniors who plan to go to college = (29 / 40) * 380
Number of seniors who plan to go to college = 275
Therefore, an estimate of the number of seniors who plan to go to college is 275. The answer is 275.
For a school project, Alice surveyed several male students in her class to determine whether there is a relationship between their heights and weights. Which scatter plot represents the data displayed in the table below?%0D%0A%0D%0A Height (in.) %09 54%09 56%09 58%09 61%09 63%09 65%09 70%09 71%0D%0A Weight (lbs.)%09 100%09 110%09 122%09 135%09 146%09 150%09 170%09 171%0D%0A (1 point)%0D%0A%09The x-axis is labeled Weight left-parenthesis lbs. right-parenthesis and has numbers from 0 to 200 with a step size of 50. The y-axis is labeled Height left-parenthesis in. right-parenthesis and has numbers from 0 to 80 with a step size of 20. The scatter plots shows these approximate points: left-parenthesis 100 comma 70 right-parenthesis, left-parenthesis 110 comma 70 right-parenthesis, left-parenthesis 125 comma 65 right-parenthesis, left-parenthesis 140 comma 60 right-parenthesis, left-parenthesis 145 comma 60 right-parenthesis, left-parenthesis 150 comma 60 right-parenthesis, left-parenthesis 170 comma 50 right-parenthesis, and left-parenthesis 175 comma 55 right-parenthesis.%0D%0A%09The x-axis is labeled Weight left-parenthesis lbs. right-parenthesis and has numbers from 0 to 80 with a step size of 20. The y-axis is labeled Height left-parenthesis in. right-parenthesis and has numbers from 0 to 100 with a step size of 20. The scatter plots shows these approximate points: left-parenthesis 57 comma 50 right-parenthesis, left-parenthesis 58 comma 58 right-parenthesis, left-parenthesis 60 comma 60 right-parenthesis, left-parenthesis 65 comma 65 right-parenthesis, left-parenthesis 66 comma 70 right-parenthesis, left-parenthesis 65 comma 78 right-parenthesis, left-parenthesis 70 comma 81 right-parenthesis, and left-parenthesis 75 comma 85 right-parenthesis.%0D%0A%09The x-axis is labeled Height left-parenthesis in. right-parenthesis and has numbers from 0 to 80 with a step size of 20. The y-axis is labeled Weight left-parenthesis lbs. right-parenthesis and has numbers from 0 to 100 with a step size of 20. The scatter plots shows these approximate points: left-parenthesis 57 comma 50 right-parenthesis, left-parenthesis 58 comma 58 right-parenthesis, left-parenthesis 60 comma 60 right-parenthesis, left-parenthesis 65 comma 65 right-parenthesis, left-parenthesis 66 comma 70 right-parenthesis, left-parenthesis 65 comma 78 right-parenthesis, left-parenthesis 70 comma 81 right-parenthesis, and left-parenthesis 75 comma 85 right-parenthesis.
The scatter plot that represents the data displayed in the table is:
- The x-axis is labeled Weight (lbs.) and has numbers from 0 to 200 with a step size of 50. The y-axis is labeled Height (in.) and has numbers from 0 to 80 with a step size of 20. The scatter plots show these approximate points: (100,70), (110,56), (122,58), (135,61), (146,63), (150,65), (170,70), and (171,71).
This scatter plot correctly represents the relationship between the height and weight of the male students surveyed by Alice for her school project.
You are surveying students to find out their opinion of the quality of food served in the school cafeteria. You decide to poll only those students who buy hot lunch at the school cafeteria on a particular day. Is your sample random? Explain.
No, the sample is not random. It is a convenient sample, which is a type of non-random sample. The students who buy hot lunch at the school cafeteria on a particular day may not be representative of the general population of students who attend the school. For example, students who bring lunch from home or buy food from other sources may have different opinions about the quality of food served in the school cafeteria. Additionally, students who buy hot lunch at the school cafeteria on a particular day may not be consistent from day to day, so the sample may not be consistent over time. Therefore, this sample may not provide an accurate representation of the opinions of all students at the school. To obtain a random sample, a more systematic and unbiased approach is necessary, such as selecting students randomly from a list of all students at the school.
The table shows the rainfall, in inches, in the month of July for the years 2006 through 2011.%0D%0AYear%0D%0A%0D%0A2006%0D%0A%0D%0A2007%0D%0A%0D%0A2008%0D%0A%0D%0A2009%0D%0A%0D%0A2010%0D%0A%0D%0A2011%0D%0A%0D%0ARainfall%0D%0A%0D%0A4.5%0D%0A%0D%0A4.4%0D%0A%0D%0A4.1%0D%0A%0D%0A4.2%0D%0A%0D%0A3.9%0D%0A%0D%0A4.0%0D%0A%0D%0A %0D%0A%0D%0AAlex used the data to make the graph below.%0D%0A%0D%0A%0D%0AA line graph is titled July Rainfall.%0D%0AThe horizontal axis is labeled Year and is equally spaced. The axis scale starts at 2006 increases by 1 until ending at 2011.%0D%0AThe vertical axis is labeled Rainfall in inches and is equally spaced. The axis scale starts at 3.6 and increases by 0.1 until ending at 4.6.%0D%0AThe data points represented in the tabled are connected by line segments from left to right.%0D%0Aa) In what way could the graph be misleading?%0D%0A%0D%0Ab) How could you redraw the graph so that it is less misleading?%0D%0A%0D%0A (2 points)
a) The graph could be misleading because it exaggerates differences in the rainfall between years. While there are slight differences in the rainfall amounts from year to year, they are not significant enough to justify the degree of variation
i like how that was more cut down into a 7th grade vocabulary level and word limit
Researchers count 30 tagged zebras and 150 total zebras in an area of a game reserve. If researchers had previously tagged 80 total zebras at the game reserve, about how many total zebras live at the game reserve? Write a proportion to estimate the total population.
30/150 = 80/x
30x = 12,000
x = 400