A) The strata to be used in this survey by the employer is; <em><u>Type of Staff</u></em>
B) <em>Stratified Random Sampling</em> will be preferred because the opinions of <em><u>the staffs on the tipping policy</u></em> may be the same within each type but differ across the different <u><em>types of staffs.</em></u>
- A stratified random sampling is a type of sampling that divides a population into groups known as strata.
Now, from the question, we see that after adding a 20% to the cost of food and beverages, that the additional revenue will be distributed equally among the kitchen and server staffs.
This means the strata here will be the type of staff because the opinions of the staffs on the tipping policy may be the within each type but differ across both types of staffs.
Read more at; brainly.com/question/1954758
Step-by-step explanation:
i need time
i hope u may understand
<h2>,...............................................</h2>
Answer:
Top 5% is 5.84 milliters and the bottom 5% is 5.60 millimeters.
Step-by-step explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean 
and standard deviation 
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
Top 5%:
X when Z has a pvalue of 0.95. So X when Z = 1.645
Bottom 5%:
X when Z has a pvalue of 0.05. So X when Z = -1.645
Top 5% is 5.84 milliters and the bottom 5% is 5.60 millimeters.
3345 because it’s squared
9 because the symbols around -12 and -3 so they would just become positive number 12 and 3. Subtract them and you get 9 :)
