Answer:
I wish I knew that answer
Step-by-step explanation:
Answer:
(2x/3) - 4
Step-by-step explanation:
"twice a number" ---> 2x
"quotient of twice a number and 3" ---> 2x/3
"4 less than" --> (2x/3) - 4
Could also be written as (2/3)x - 4
Answer:
Step-by-step explanation:
0.00048*.81=0.0003888
0.0003888*10=0.003888
0.003888*(10)=0.3888
0.3888-7=-6.6112
-6.6112*0.027=-224.8592593
-224.8592593*0.04= -9.794370372
-9.794370372*(10)=-97.94370372
-97.94370372*6= -587.6622223
The valid conclusions for the manager based on the considered test is given by: Option
<h3>When do we perform one sample z-test?</h3>
One sample z-test is performed if the sample size is large enough (n > 30) and we want to know if the sample comes from the specific population.
For this case, we're specified that:
- Population mean = = $150
- Population standard deviation = = $30.20
- Sample mean = = $160
- Sample size = n = 40 > 30
- Level of significance = = 2.5% = 0.025
- We want to determine if the average customer spends more in his store than the national average.
Forming hypotheses:
- Null Hypothesis: Nullifies what we're trying to determine. Assumes that the average customer doesn't spend more in the store than the national average. Symbolically, we get:
- Alternate hypothesis: Assumes that customer spends more in his store than the national average. Symbolically
where is the hypothesized population mean of the money his customer spends in his store.
The z-test statistic we get is:
The test is single tailed, (right tailed).
The critical value of z at level of significance 0.025 is 1.96
Since we've got 2.904 > 1.96, so we reject the null hypothesis.
(as for right tailed test, we reject null hypothesis if the test statistic is > critical value).
Thus, we accept the alternate hypothesis that customer spends more in his store than the national average.
Learn more about one-sample z-test here:
brainly.com/question/21477856