2.40 The accompanying frequency distribution sum- marizes data on the number of times smokers attempted to quit before their final successful attempt (“Demographic Variables, Smoking Variables, and Outcome Across Five Studies," Health Psychology [2007]: 278–287).

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li 2.40 The accompanying frequency distribution sum-
marizes data on the number of times smokers attempted
to quit before their final successful attempt ("Demographic
Variables, Smoking Variables, and Outcome Across Five
Studies," Health Psychology [2007]: 278-287).
Number of Attempts Frequency
778
1
306
2
274
3-4
221
5 or more
238
Assume that no one had made more than 10 unsuccessful
attempts, so that the last entry in the frequency distribution
can be regarded as 5–10 attempts. Summarize this data set
Transcribed Image Text:li 2.40 The accompanying frequency distribution sum- marizes data on the number of times smokers attempted to quit before their final successful attempt ("Demographic Variables, Smoking Variables, and Outcome Across Five Studies," Health Psychology [2007]: 278-287). Number of Attempts Frequency 778 1 306 2 274 3-4 221 5 or more 238 Assume that no one had made more than 10 unsuccessful attempts, so that the last entry in the frequency distribution can be regarded as 5–10 attempts. Summarize this data set
using a histogram. Because the class intervals are not all
the same width, you will need to use a density scale for
the histogram. Also remember that for a discrete variable,
the bar for 1 will extend from 0.5 to 1.5. Think about what
this will mean for the bars for the 3–4 group and the 5–10
group.
Transcribed Image Text:using a histogram. Because the class intervals are not all the same width, you will need to use a density scale for the histogram. Also remember that for a discrete variable, the bar for 1 will extend from 0.5 to 1.5. Think about what this will mean for the bars for the 3–4 group and the 5–10 group.
Expert Solution
Step 1

Here we are given the class interval and they are not all the same width.

It means that the difference between lower and upper limits are not same for the given number of attempts.

To check this we need to find

  • Class boundaries.
  • Relative frequency.
  • Width.
  • Density.

 

Step 2 : Find class boundaries.

We can find the class boundaries by subtracting 0.5 units from the lower limits and adding 0.5 units from the upper limits.

Thus , for all number of attempts class boundaries are as follows;

For 0 , it would be like 0 - 0.5  ,  0 + 0.5  = 0.0 to 0.5.     [ Instead of -0.5 we'll write this as 0]

For 1 , it would be like 1-0.5 ,  1 + 0.5 = 0.5 to 1.5.

For 2 , it would be like 2-0.5  , 2 +0.5 = 1.5 to 2.5.

For 3-4 , it would be like 3-0.5  , 4 +0.5 = 2.5 to 4.5.

For 5 or more , it would be 5-0.5 , 10+0.5 = 4.5 to 10.5.

Note : 5 or more means lower limit is 5 and upper limit is 10 and it can be written as  5-10.

It will look like,

Statistics homework question answer, step 2, image 1

Step 3 : Find Relative frequency.

To find the relative frequency, divide the frequency by the total number of data values/frequencies.

Here total number of data values  =  778 +306 + 274 +221 + 238 = 1817.

Therefore , Σf = n = 1817.

Thus , the relative frequencies are as follows;

Statistics homework question answer, step 3, image 1

Note : The sum of relative frequency should be equal to 1.

 

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