Question
In: Math
A television CEO believes viewership of the evening news does not depend on age. She collects...
- A television CEO believes viewership of the evening news does not depend on age. She collects a random sample of 2000 television viewers across four different age groups and asks whether or not they watch the evening news. The results are as follows:
Watch | 18 years old 19 to 35 36 to 54 55 years old
Evening News | or less years old years old or more
___________________________________________________________
Yes | 74 96 112 146
No | 426 404 388 354
Test to see whether watching the evening news and age grouping are independent at the 0.05 level using the Chi-Square test. Conduct this test by hand and using the Chi-Square table instead of using Excel.
Solutions
milcah answered 9 months agoRelated Solutions
A television CEO believes viewership of the evening news does not depend on age. She collects...
A television CEO
believes viewership of the evening news does not depend on age. She
collects a random sample of 2000 television viewers across four
different age groups and asks whether or not they watch the evening
news. The results are as follows:
Watch
| 18 years old
19 to
35
36 to 54
55 years old
Evening News | or
less
years old
years old
or more
_____________________________________________________________________
Yes
|
70
96
112 ...
You are watching the evening news on television. The news anchor reports that union wage demands...
You are watching the evening news on television. The news anchor
reports that union wage demands are much higher this year because
the workers anticipate an increase in the rate inflation. Your
roommate says, "Inflation is a self- fulfilling prophecy. If
workers think there are going to be higher prices, they demand
higher wages. This increases the cost of production and firms
raises their prices. Expecting higher prices simply causes higher
prices"
Q. If policy makers do nothing and allow...
A television station wishes to study the relationship between viewership of its 11 p.m. news program...
A television station wishes to study the relationship between
viewership of its 11 p.m. news program and viewer age (18 years or
less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television
viewers in each age group is randomly selected, and the number who
watch the station’s 11 p.m. news is found for each sample. The
results are given in the table below.
Age Group
Watch
11 p.m. News?
18 or less
19 to 35...
A television station wishes to study the relationship between viewership of its 11 p.m. news program...
A television station wishes to study the relationship between
viewership of its 11 p.m. news program and viewer age (18 years or
less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television
viewers in each age group is randomly selected, and the number who
watch the station’s 11 p.m. news is found for each sample. The
results are given in the table below.
Age Group
Watch
11 p.m. News?
18 or less
19 to 35...
A television station wishes to study the relationship between viewership of its 11 p.m. news program...
A television station wishes to study the relationship between
viewership of its 11 p.m. news program and viewer age (18 years or
less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television
viewers in each age group is randomly selected, and the number who
watch the station’s 11 p.m. news is found for each sample. The
results are given in the table below.
Age Group
Watch
11 p.m. News?
18 or
less
19 to 35...
A television station wishes to study the relationship between viewership of its 11 p.m. news program...
A television station wishes to study the relationship between
viewership of its 11 p.m. news program and viewer age (18 years or
less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television
viewers in each age group is randomly selected, and the number who
watch the station’s 11 p.m. news is found for each sample. The
results are given in the table below.
Age Group
Watch
11 p.m. News?
18 or less
19 to 35...
During the first few weeks of the new television season, the evening news audience proportions were...
During the first few weeks of the new television season, the
evening news audience proportions were recorded as: ABC = 31 5, CBS
= 34%, NBC = 35%. A sample of 600 homes yielded the following
viewing audience data. Channel Number of Homes ABC 150 CBS 200 NBC
250 We want to determine whether or not there has been a
significant change in the percentage of viewing audience of the
three networks. Conduct the appropriate hypothesis test at an alpha...
Jimmy is the CEO of News Corp. His son, Johnny, runs Television Inc. One day Jimmy...
Jimmy is the CEO of News Corp. His son, Johnny, runs Television
Inc. One day Jimmy suggests that Johnny sell Television Inc. to
News Corp. Jimmy and Johnny work together to radically inflate the
value of Television Inc. Jimmy brings a proposal to the Board of
Directors to buy Television Inc. for $500 million dollars even
though the corporation is only worth $2 million. The board of
directors diligently examines the transaction, but due to clever
forgeries, the board does...
Jimmy is the CEO of News Corp. His son, Johnny, runs Television Inc. One day Jimmy...
Jimmy is the CEO of News Corp. His son, Johnny, runs Television
Inc. One day Jimmy suggests that Johnny sell Television Inc. to
News Corp. Jimmy and Johnny work together to radically inflate the
value of Television Inc. Jimmy brings a proposal to the Board of
Directors to buy Television Inc. for $500 million dollars even
though the corporation is only worth $2 million. The board of
directors diligently examines the transaction, but due to clever
forgeries, the board does...
9. An analyst believes that long-distance running reduces muscle mass. She collects data on subjects (pounds...
9. An analyst believes that long-distance running reduces muscle
mass. She collects data on subjects (pounds of muscle mass, hours
of running per week, and calories consumed per week) and performs a
regression. Here are the results:
Coefficient
Standard Error
Intercept
20
2.23
Running
-3.5
0.56
Calories
0.009
0.44
Interpret the RUNNING coefficient:
a. Running one more hour per week will reduce calories by
3.5
b. People with greater muscle mass run than
3.5 less miles per week
c. Running...
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