Consider the following hypothesis test. Ho: μ = 30 H₂: μ # 30 The population standard deviation is 14. Use a = 0.05. How large a sample should be taken if the researcher is willing to accept a 0.10 probability of making a type II error when the actual population mean is 33? Step 1 The sample size for a two-tailed hypothesis test for a population mean below where Za2 is the z-value that corresponds to an upper tail area of ZB is the z-value that corresponds to an upper tail area of ß, o is the population standard deviation, μ is the α 2 hypothesized population mean, and μ is the population mean used for the type II error. n = (²α/2+28)²0² (но-на) 2 = a 50 2/2 = We are told to use a = 0.05, so so ß = The researcher is willing to accept a probability of 0.10 of making a type II error, Use technology to find the values of Za/2 and Zg, rounding each to two decimal places. Za/2 ZB
Consider the following hypothesis test. Ho: μ = 30 H₂: μ # 30 The population standard deviation is 14. Use a = 0.05. How large a sample should be taken if the researcher is willing to accept a 0.10 probability of making a type II error when the actual population mean is 33? Step 1 The sample size for a two-tailed hypothesis test for a population mean below where Za2 is the z-value that corresponds to an upper tail area of ZB is the z-value that corresponds to an upper tail area of ß, o is the population standard deviation, μ is the α 2 hypothesized population mean, and μ is the population mean used for the type II error. n = (²α/2+28)²0² (но-на) 2 = a 50 2/2 = We are told to use a = 0.05, so so ß = The researcher is willing to accept a probability of 0.10 of making a type II error, Use technology to find the values of Za/2 and Zg, rounding each to two decimal places. Za/2 ZB
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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![O
Consider the following hypothesis test.
Ho: μ = 30
H₂: μ # 30
The population standard deviation is 14. Use a = 0.05. How large a sample should be taken if the researcher is willing to accept a 0.10
probability of making a type II error when the actual population mean is 33?
Step 1
The sample size for a two-tailed hypothesis test for a population mean below where Za/2 is the z-value that corresponds to an upper
tail area of α
ZB
Ze is the z-value that corresponds to an upper tail area of B, o is the population standard deviation, μ
2
is the
hypothesized population mean, and μ is the population mean used for the type II error.
ZB
α
We are told to use a = 0.05, so =
so B =
Use technology to find the values of Za/2 and Zg, rounding each to two decimal places.
za/2
E
=
=
n =
C
(za/2+Zg)²0²
(но-ма) 2
. The researcher is willing to accept a probability of 0.10 of making a type II error,
74°F Sunny
A O
To 40)
5:17 PM
4/12/2023](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff516d2f-71a8-4a20-b0ff-ba0b765c8c1a%2F3cce9b97-c121-4f18-ab5e-e05e28d01927%2Fopgz6oi_processed.jpeg&w=3840&q=75)
Transcribed Image Text:O
Consider the following hypothesis test.
Ho: μ = 30
H₂: μ # 30
The population standard deviation is 14. Use a = 0.05. How large a sample should be taken if the researcher is willing to accept a 0.10
probability of making a type II error when the actual population mean is 33?
Step 1
The sample size for a two-tailed hypothesis test for a population mean below where Za/2 is the z-value that corresponds to an upper
tail area of α
ZB
Ze is the z-value that corresponds to an upper tail area of B, o is the population standard deviation, μ
2
is the
hypothesized population mean, and μ is the population mean used for the type II error.
ZB
α
We are told to use a = 0.05, so =
so B =
Use technology to find the values of Za/2 and Zg, rounding each to two decimal places.
za/2
E
=
=
n =
C
(za/2+Zg)²0²
(но-ма) 2
. The researcher is willing to accept a probability of 0.10 of making a type II error,
74°F Sunny
A O
To 40)
5:17 PM
4/12/2023
![hypothesized population mean, and is the population mean used for the type II error.
ZB
=
We are told to use a = 0.05, so α
2
so B =
Use technology to find the values of Za/2 and Zp, rounding each to two decimal places.
Zα/2
n =
Thus, Ho
(Za/2 + ZB) ²0²
(Mo-H₂)²
=
3, 8 Is the population standard deviation, μ is the
The population standard deviation was given to be 14, so we have o =
researcher is willing to accept a type II error of 0.10 for the following hypotheses.
Ho: μ = 30
Ha: μ # 30
and Ha
The researcher is willing to accept a probability of 0.10 of making a type II error,
If the actual population mean is 33, the](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff516d2f-71a8-4a20-b0ff-ba0b765c8c1a%2F3cce9b97-c121-4f18-ab5e-e05e28d01927%2F4ua3ae_processed.jpeg&w=3840&q=75)
Transcribed Image Text:hypothesized population mean, and is the population mean used for the type II error.
ZB
=
We are told to use a = 0.05, so α
2
so B =
Use technology to find the values of Za/2 and Zp, rounding each to two decimal places.
Zα/2
n =
Thus, Ho
(Za/2 + ZB) ²0²
(Mo-H₂)²
=
3, 8 Is the population standard deviation, μ is the
The population standard deviation was given to be 14, so we have o =
researcher is willing to accept a type II error of 0.10 for the following hypotheses.
Ho: μ = 30
Ha: μ # 30
and Ha
The researcher is willing to accept a probability of 0.10 of making a type II error,
If the actual population mean is 33, the
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