Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

State the Type I and Type II errors in complete sentences given the following statements. part C The mean starting salary for San Jose State

State the Type I and Type II errors in complete sentences given the following statements.

  • part C

The mean starting salary for San Jose State University graduates is at least $100,000 per year.

Type I error:

  • A. We conclude that the mean starting salary is at least $100,000 when, in fact, it is less than $100,000.
  • B. We conclude that the mean starting salary is less than $100,000, when it really is at least $100,000.
  • C. We conclude that the mean starting salary is at least $100,000, when it really is at least $100,000.
  • D. We conclude that the mean starting salary is less than $100,000 when, in fact, it is less than $100,000.

Type II error:

  • A. We conclude that the mean starting salary is at least $100,000 when, in fact, it is less than $100,000.
  • B. We conclude that the mean starting salary is less than $100,000, when it really is at least $100,000.
  • C. We conclude that the mean starting salary is at least $100,000, when it really is at least $100,000.
  • D. We conclude that the mean starting salary is less than $100,000 when, in fact, it is less than $100,000.
  • Part (d)

Twenty-nine percent of high school seniors get drunk each month.

Type I error:

  • A. We conclude that the proportion of high school seniors who get drunk each month is 29% when, in fact, it is not 29%.
  • B. We conclude that the proportion of high school seniors who get drunk each month is 29%, when it really is 29%.
  • C. We conclude that the proportion of high school seniors who get drunk each month is not 29% when, in fact, it is not 29%.
  • D. We conclude that the proportion of high school seniors who get drunk each month is not 29%, when it really is 29%.

Type II error:

  • A. We conclude that the proportion of high school seniors who get drunk each month is 29% when, in fact, it is not 29%.
  • B. We conclude that the proportion of high school seniors who get drunk each month is 29%, when it really is 29%.
  • C. We conclude that the proportion of high school seniors who get drunk each month is not 29% when, in fact, it is not 29%.
  • D. We conclude that the proportion of high school seniors who get drunk each month is not 29%, when it really is 29%.
  • Part (e)

Fewer than 5% of adults ride the bus to work in Los Angeles.

Type I error:

  • A. We conclude that fewer than 5% of adults ride the bus to work in Los Angeles, when the percentage that do is really 5% or more.
  • B. We conclude that fewer than 5% of adults ride the bus to work in Los Angeles when, in fact, fewer than 5% do.
  • C. We conclude that 5% or more adults ride the bus to work in Los Angeles, when the percentage that do is really 5% or more.
  • D. We conclude that 5% or more adults ride the bus to work in Los Angeles when, in fact, fewer than 5% do.

Type II error:

  • A. We conclude that fewer than 5% of adults ride the bus to work in Los Angeles, when the percentage that do is really 5% or more.
  • B. We conclude that fewer than 5% of adults ride the bus to work in Los Angeles when, in fact, fewer than 5% do.
  • C. We conclude that 5% or more adults ride the bus to work in Los Angeles, when the percentage that do is really 5% or more.
  • D. We conclude that 5% or more adults ride the bus to work in Los Angeles when, in fact, fewer than 5% do.
  • Part (f)

The mean number of cars a person owns in his or her lifetime is not more than ten.

Type I error:

  • A. We conclude that the mean number of cars a person owns in his or her lifetime is not more than 10, when in reality it is not more than 10.
  • B. We conclude that the mean number of cars a person owns in his or her lifetime is not more than 10 when, in fact, it is more than 10.
  • C. We conclude that the mean number of cars a person owns in his or her lifetime is more than 10, when in reality it is not more than 10.
  • D. We conclude that the mean number of cars a person owns in his or her lifetime is more than 10 when, in fact, it is more than 10.

Type II error:

  • A. We conclude that the mean number of cars a person owns in his or her lifetime is not more than 10, when in reality it is not more than 10.
  • B. We conclude that the mean number of cars a person owns in his or her lifetime is not more than 10 when, in fact, it is more than 10.
  • C. We conclude that the mean number of cars a person owns in his or her lifetime is more than 10, when in reality it is not more than 10.
  • D. We conclude that the mean number of cars a person owns in his or her lifetime is more than 10 when, in fact, it is more than 10.
  • Part (g)

About half of Americans prefer to live away from cities, given the choice.

Type I error:

  • A. We conclude that the proportion of Americans who prefer to live away from cities is half, though the actual proportion is about half.
  • B. We conclude that the proportion of Americans who prefer to live away from cities is half when, in fact, it is not half.
  • C. We conclude that the proportion of Americans who prefer to live away from cities is not about half when, in fact, it is not half.
  • D. We conclude that the proportion of Americans who prefer to live away from cities is not about half, though the actual proportion is about half.

Type II error:

  • A. We conclude that the proportion of Americans who prefer to live away from cities is half, though the actual proportion is about half.
  • B. We conclude that the proportion of Americans who prefer to live away from cities is half when, in fact, it is not half.
  • C. We conclude that the proportion of Americans who prefer to live away from cities is not about half when, in fact, it is not half.
  • D. We conclude that the proportion of Americans who prefer to live away from cities is not about half, though the actual proportion is about half.
  • Part (h)

Europeans have a mean paid vacation each year of six weeks.

Type I error:

  • A. We conclude that the duration of paid vacations each year for Europeans is not six weeks, when in fact it is six weeks.
  • B. We conclude that the duration of paid vacations each year for Europeans is six weeks when, in fact, it is not.
  • C. We conclude that the duration of paid vacations each year for Europeans is not six weeks when, in fact, it is not.
  • D. We conclude that the duration of paid vacations each year for Europeans is six weeks, when in fact it is six weeks.

Type II error:

  • A. We conclude that the duration of paid vacations each year for Europeans is not six weeks, when in fact it is six weeks.
  • B. We conclude that the duration of paid vacations each year for Europeans is six weeks when, in fact, it is not.
  • C. We conclude that the duration of paid vacations each year for Europeans is not six weeks when, in fact, it is not.
  • D. We conclude that the duration of paid vacations each year for Europeans is six weeks, when in fact it is six weeks.
  • Part (i)

The chance of developing breast cancer is under 11% for women.

Type I error:

  • A. We conclude that the proportion of women who develop breast cancer is less than 11%, when in fact it is less than 11%.
  • B. We conclude that the proportion of women who develop breast cancer is less than 11%, when it is really at least 11%.
  • C. We conclude that the proportion of women who develop breast cancer is at least 11%, when it is really at least 11%.
  • D. We conclude that the proportion of women who develop breast cancer is at least 11%, when in fact it is less than 11%.

Type II error:

  • A. We conclude that the proportion of women who develop breast cancer is less than 11%, when in fact it is less than 11%.
  • B. We conclude that the proportion of women who develop breast cancer is less than 11%, when it is really at least 11%.
  • C. We conclude that the proportion of women who develop breast cancer is at least 11%, when it is really at least 11%.
  • D. We conclude that the proportion of women who develop breast cancer is at least 11%, when in fact it is less than 11%.
  • Part (j)

Private universities' mean tuition cost is more than $20,000 per year.

Type I error:

  • A. We conclude that the average tuition cost at private universities is at most $20,000, and in reality it is at most $20,000.
  • B. We conclude that the average tuition cost at private universities is at most $20,000 when, in fact, it is more than $20,000.
  • C. We conclude that the average tuition cost at private universities is more than $20,000, though in reality it is at most $20,000.
  • D. We conclude that the average tuition cost at private universities is more than $20,000 when, in fact, it is more than $20,000.

Type II error:

  • A. We conclude that the average tuition cost at private universities is at most $20,000, and in reality it is at most $20,000.
  • B. We conclude that the average tuition cost at private universities is at most $20,000 when, in fact, it is more than $20,000.
  • C. We conclude that the average tuition cost at private universities is more than $20,000, though in reality it is at most $20,000.
  • D. We conclude that the average tuition cost at private universities is more than $20,000 when, in fact, it is more than $20,000.

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Advanced Engineering Mathematics

Authors: Erwin Kreyszig

3rd Edition

471507288, 978-0471507284

More Books

Students also viewed these Mathematics questions

Question

Under a wider scope discuss socialism in Tanzania.

Answered: 1 week ago