Question

Fowle Marketing Research, Inc., bases charges to a client on the assumption that telephone surveys can be completed in a mean time of 15 minutes or less. If a longer mean survey time is necessary, a premium rate is charged. Suppose a sample of 35 surveys produces the data in the Microsoft Excel Online file below. Use a known σ = 3.6 minutes. Is the premium rate justified? 20.3

Answer 1

Answer:

a)  Null hypothesis:  $\mathbf{H_0 : \mu \leq 15}$

Alternative hypothesis: $\mathbf{H_1 = \mu > 15}$

b) the test statistics is : 2.15

c) The p-value is 0.0158

d) NO, there is evidence that the mean time of telephone survey is less than 15 and premium rate is not justified.

Step-by-step explanation:

The data in the  Microsoft Excel are:

17;11;12;23;20;23;15;

16;23;22;18;23;25;14;

12;12;20;18;12;19;11;

11;20;21;11;18;14;13;

13;19; 16;10;22;18;23.

a) Formulate the null and alternative hypotheses for this application.

From the question, Fowle Marketing Research Inc. is taking base charge from a client on the given assumption that if the mean time of telephone survey is 15 minutes or less.

The null and alternative hypotheses are therefore as follows:

Null hypothesis:  $\mathbf{H_0 : \mu \leq 15}$

The null hypothesis states that there is evidence that the mean time of telephone survey is less than 15 and premium rate is not justified.

Alternative hypothesis: $\mathbf{H_1 = \mu > 15}$

The alternative hypothesis states that there is evidence that the mean time of telephone survey exceeds 15 and premium rate is justified.

b) Compute the value of the test statistic.

Given that:

$\mu = 15$

$\sigma = 3.6$

n = 35

The sample mean $\bar x = \dfrac{ \sum x}{n}$  is;

$\bar x = \dfrac{ 17+11+12 ... 22+18+23}{35}$

$\bar x = 17$

Thus:

$z = \dfrac{ \bar x - \mu }{\dfrac{\sigma}{\sqrt{n}}}$

$z = \dfrac{ 17 - 15}{\dfrac{3.6}{\sqrt{15}}}$

$z = \dfrac{ 2}{0.9295}}$

$\mathbf{z =2.15}$

Thus; the test statistics is : 2.15

c) What is the p-value?

p-value = P(Z > 2.15)

p-value = 1 - P(Z ≤ 2.15)

From the standard normal table, the value of P(Z ≤ 2.15) is 0.9842

p-value = 1 - 0.9842

p-value = 0.0158

The p-value is 0.0158

d)  At a = .01, what is your conclusion?

According to the rejection rule, if p-value is less than 0.01 then reject null hypothesis at ∝ = 0.01

Thus; p-value =  0.0158 >  ∝ = 0.01

By the rejection rule, accept the null hypothesis.

Therefore, there is evidence that the mean time of telephone survey is less than 15 and premium rate is not justified.