In: Statistics and Probability
Is there evidence that the mean annual salary of a Tesla owner is more than $253500? Data was collected from 36 Tesla owners across the US. The mean annual salary of those 36 Tesla owners was $254000 with a standard deviation of $1057. Answer this question, at the 1% significance level, by performing the following steps of a hypothesis test .
a) Complete the null and alternative hypotheses by typing into the box as indicated.
Ho : mu (Type
one: <, =, >)
(type a value)
Ha : mu (Type
one: <, =, >)
(type a value)
b) Complete the probability statement for the probability of observing a mean salary at least as extreme as the one measured for this sample.
P( X_bar __(I)__ __(II)__ )
c) Complete the following sentence. For each box, choose an option and type its corresponding letter (A, B, etc...) into the box .
This test uses the (A. z B. t C. F) test statistic. Calculating this test statistic requires knowing the standard deviation of the (A. sample B. population).
d) Calculate the test statistic. Type the value, rounded to 2 decimals, in the box.
Answer for (d):
e) This figure represents the density curve of the test statistic. Answer the questions below about the distribution.
f) Find an interval containing this test's P-value using one of the following tables: normal table, t-table. Type values for the lower and upper bounds, recorded to 4 decimals, into the correct boxes.
Answer for (f): P-Value
g) Complete this concluding sentence. For each box, choose one of the two options and type its corresponding letter (A or B) into the box.
We (A. reject B. fail to reject) the null hypothesis. There (A. is B. is no) evidence that the mean annual salary of a Tesla owner is (A. less B. more) than $253500 at the 1% significance level. This refers to the (A. sample B. population).
In case of a question with multiple sub-parts, we have the option to answer only first 4 sub-parts, thus I am here answering (a)-(d). If you want the solution to remaining ones, please post those as a new question.
a) Since we are to test whether the mean annual salary of a Tesla owner is MORE THAN $253500, thus, our null hypothesis will be
Ho: mu= 253500
and our alternative hypothesis will be
Ha: mu> 253500 (Right- tailed)
(b) Since for the sample data of 36 Tesla owners, the mean is $254000, our Probability statement will be
P(Xbar > 254000)
(c) Since we are to test the significance of a single mean and the sample standard deviation is given, we will use the t-statistic, thus option B. is correct. Further, t-statistic requires the knowledge of sample standard deviation, hence option A is correct.
(d) The t-statistic is given by
t= (xbar- mu)/ S/sqrt(n)
Given that xbar= 254000, mu= 253500, S=sample standard deviation= 1057 and n= sample size= 36
Hence t= (254000-253500)/1057/Sqrt(36)
=500/1057/6
= 3000/1057
=2.8382213813
= 2.84 (two decimal places)