onsider the following random sample observations on stabilized viscosity of asphalt specimens. 2062 1906 1993 1827 2064 Suppose that for a particular application, it is required that true average viscosity be 2000. Is there evidence this requirement is not satisfied? From previous findings we know that the population standard deviation, σ = 89.5. State the appropriate hypotheses. (Use α = 0.05.) H0: μ ≠ 2000 Ha: μ = 2000 H0: μ = 2000 Ha: μ ≠ 2000 H0: μ < 2000 Ha: μ = 2000 H0: μ > 2000 Ha: μ < 2000 Calculate the sample mean and standard error. (Round your answers to three decimal places.) Mean x =

Answer :

Answer:

Sample mean = 1970.4

Standard Error = 40.025

There is enough evidence to support the claim that the true average viscosity be 2000.

Step-by-step explanation:

We are given the following in the question:

2062, 1906, 1993, 1827, 2064

Formula:

[tex]Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}[/tex]

[tex]Mean =\displaystyle\frac{9852}{5} = 1970.4[/tex]

Population standard deviation, σ = 89.5

Standard error =

[tex]\dfrac{\sigma}{\sqrt{n}}= \displaystyle\frac{89.5}{\sqrt{5}} = 40.025[/tex]

Now,

Population mean, μ = 2000

Sample mean, [tex]\bar{x}[/tex] = 1970.4

Sample size, n = 5

Alpha, α = 0.05

First, we design the null and the alternate hypothesis

[tex]H_{0}: \mu = 2000\\H_A: \mu \neq 2000[/tex]

We use Two-tailed z test to perform this hypothesis.

Formula:

[tex]z_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}} }[/tex]

Putting all the values, we have

[tex]z_{stat} = \displaystyle\frac{1970.4 - 2000}{\frac{89.5}{\sqrt{5}} } = -0.7395[/tex]

Now, [tex]z_{critical} \text{ at 0.05 level of significance } = \pm 1.96[/tex]

Since,  the calculated z statistic lies in the acceptance region, we fail to reject the null hypothesis and accept it.

Thus. there is enough evidence to support the claim that the true average viscosity be 2000.

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