How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 48% of the 18- to29-year-olds, 39% of the 30- to 49-year-olds, 24% of the 50- to 64-year-olds, and 19% of those aged 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 300 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) through (c). a. At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? The test statistic is χ2STAT= (Round to three decimal places as needed.) I am struggling in finding the expected frequency can you show in detail how you accomplish this for each row etc? Also is going to ask for the critical value. I had asked one before but it was wrong and I just want to be able to know how to accomplish this on my own so please be thorough.
How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 48% of the 18- to29-year-olds, 39% of the 30- to 49-year-olds, 24% of the 50- to 64-year-olds, and 19% of those aged 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 300 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) through (c). a. At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? The test statistic is χ2STAT= (Round to three decimal places as needed.) I am struggling in finding the expected frequency can you show in detail how you accomplish this for each row etc? Also is going to ask for the critical value. I had asked one before but it was wrong and I just want to be able to know how to accomplish this on my own so please be thorough.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 25PPS
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How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that
48% of the 18- to29-year-olds, 39% of the 30- to 49-year-olds, 24% of the 50- to 64-year-olds, and 19% of those aged 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 300 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) through (c).
a. At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion?
The test statistic is
χ2STAT=
(Round to three decimal places as needed.)
I am struggling in finding the expected frequency can you show in detail how you accomplish this for each row etc? Also is going to ask for the critical value. I had asked one before but it was wrong and I just want to be able to know how to accomplish this on my own so please be thorough.
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