Respuesta :
Question:
A sample of 50 provided a sample mean of 19.4. The population standard deviation is 2.
a. Compute the value of the test statistic.
b. What is the p-value?
c. Using α = .05, what is your conclusion?
d. What is the rejection rule using the critical value? What is your conclusion?
Answer:
a. The test statistic is
z = -2.1213
b. p-value = 0.0170
c. Reject H₀ as α = 0.05 > P
d. For z = 0.05 critical value = -1.64 > -2.12 Reject H₀ and accept Hₐ.
Step-by-step explanation:
H₀: μ = 20
Hₐ: μ < 20
n = Number count of sample = 50
[tex]\overline{\rm x}[/tex] = Sample mean 19.4
σ = Standard deviation = 2
The test statistic is given by;
[tex]z = \frac{\overline{\rm x} - \mu _0}{\sigma /\sqrt{n} }[/tex]
Where:
z = z statistic
Therefore,
[tex]z = \frac{19.4 - 20}{2 /\sqrt{50} } = -2.1213[/tex]
b. Using the normal z score table, P = P(Z < -2.12) = 0.0170
c. For α = 0.05 > P ∴ Reject the null hypothesis H₀
d. The critical value is the z score value from the normal distribution table at z = 0.05 which is equal to -1.645
-2.12 < -1.645 Reject H₀ and accept Hₐ
The value of the test statistic is -2.121
How to determine the test statistic
The given parameters are:
Null hypothesis, H₀: μ = 20
Alternate hypothesis, Hₐ: μ < 20
Sample size, n = 50
Sample mean, [tex]\bar x[/tex] = 19.4
Standard deviation, σ = 2
The test statistic is calculated as:
[tex]z = \frac{\bar x - \mu}{\sigma/\sqrt n}[/tex]
So, we have:
[tex]z = \frac{19.4 - 20}{2/\sqrt {50}}[/tex]
Evaluate the difference and the square root
[tex]z = \frac{-0.6}{2/7.07}[/tex]
Evaluate the quotient
[tex]z = -2.121[/tex]
Hence, the value of the test statistic is -2.121
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