Histograms and Data Distribution

Histograms and Data Distribution

10th Grade

10 Qs

quiz-placeholder

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Histograms and Data Distribution

Histograms and Data Distribution

Assessment

Quiz

Mathematics

10th Grade

Practice Problem

Easy

Created by

Anthony Clark

Used 1+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

When the distribution of data is pushed to the left like this it is said to be;

negatively skewed

positively skewed

2.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Given the data set: 1, 2, 3, 6, 9, 11, 45, 102, calculate the percentile for the data value 11 in this set.

70th percentile

62.5th percentile

72.5th percentile

75th percentile

3.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

The 50th percentile is also known as the _______________.

median

mean

mode

best percentile

4.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

In a factory, the weight of the concrete poured into a mold by a machine follows a normal distribution with a mean of 1150 pounds and a standard deviation of 22 pounds. What weight falls at the 50th percentile?

1106 pounds

1128 pounds

1150 pounds

1172 pounds

5.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

What is a reason you might want to use a histogram instead of a dot plot to display data? (Choose the best response.)

The histogram allows you to show each individual data value collected rather than displaying data in "bins" like a dot plot.

The histogram is better when you don't have repeated data values and when the data is spread out with gaps between values.

The dot plot can be used to display quantitative data, while the histogram is used for quantitative and categorical data.

Histograms and bar charts are basically the same and so you can convert a histogram into a bar chart.

6.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Media Image

What percent of the data is between 25 and 30 on the number line?

25%

`50%

75%

100%

7.

MULTIPLE CHOICE QUESTION

1 min • 5 pts

Media Image

Describe the shape of this stemplot.

Perfectly Symmetric

Strongly Skewed Left

Strongly Skewed Right

Roughly Symmetric

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