The data collection method that would provide an unbiased sample is "asking five random employees from each shift"
An unbiased sample is a sample whereby all the individuals have and equal chance of being picked for the research study.
In this case, asking five random employees from each shift is an unbiased sampling as everyone has an equal chance of being picked.
Option A is incorrect. Emailing a questionnaire to all the employees will be costly and isn't sampling.
Option B is incorrect. Asking all employees who work from 8am - 5pm is bias as others that doesn't work within the time frame aren't taken into consideration.
Option C is incorrect. Posting a request for the survey volunteers that are in the company's breakroom is biased.
Therefore, the correct option is D.
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A city of Punjab has a 15 percent chance of wet weather on any given day. What is the probability that it will take a week for it three wet weather on 3 separate days? Also find its Standard Deviation
Answer:
The probability that it will take a week for it three wet weather on 3 separate days is 0.06166 and its standard deviation is 0.9447
Explanation:
Probability of wet weather = 0.15
Probability of not being a wet weather = 1-0.15
We are supposed to find probability that it will take a week for it three wet weather on 3 separate days
Total number of days in a week = 7
We will use binomial over here
n = 7
p =probability of failure = 0.15
q = probability of success=1-0.15
r=3
Formula :[tex]P(r=3)=^nC_r p^r q ^{n-r}[/tex]
[tex]P(r=3)=^{7}C_{3} (0.15)^3 (1-0.15)^{7-3}\\P(r=3)=\frac{7!}{3!(7-3)!} (0.15)^3 (1-0.15)^{7-3}\\P(r=3)=0.06166[/tex]
Standard deviation =[tex]\sqrt{n \times p \times q}[/tex]
Standard deviation =[tex]\sqrt{7 \times 0.15 \times (1-0.15)}[/tex]
Standard deviation =0.9447
Hence The probability that it will take a week for it three wet weather on 3 separate days is 0.06166 and its standard deviation is 0.9447
Lisa’s doctor tells her that she needs to eat more foods that contain calcium to maintain her bone health. What could happen if Lisa doesn’t follow her doctor’s orders
Answer:
b
Explanation:
yea
THIS IS AN ECONOMICS QUESTION
When economists and policy makers talk about full employment, they do not mean 100 percent employment, rather they mean reaching a certain point that still leaves a portion of the labor force unemployed. Why is this the case and what are the kinds of unemployment that exist that do not allow us to reach 100 percent employment?
When your brakes fail, first try
A. pumping the brake pedal
B. holding the brake pedal down
C. pressing the accelerator
D. kicking the brake pedal
Answer:
A. pumping the brake pedal .... to build up brake fluid pressure
Explanation:
Actually, that is what you should do SECOND.
The FIRST thing to do is downshift to a lower gear.
Answer:
A
Explanation:
1. Country
Female
Male
India
64
62
Norway
82
77
Bolivia
66
62
Ghana
59
58
Austria
82
76
South Africa
56
51
United Kingdom
81
76
Myanmar
63
57
China
74
70
Panama
77
72
2.
Create a scatter plot for the data on the grid. Identify any clusters or outliers.
Answer:
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Briefly explain how do z scores lay the foundation for finding out area under normal curve? Write in your own words
Answer:
To find a specific area under a normal curve, find the z-score of the data value and use a Z-Score Table to find the area. A Z-Score Table, is a table that shows the percentage of values (or area percentage) to the left of a given z-score on a standard normal distribution. You need both tables!
Explanation:
pls mark brainliest
Depending on the study, it is sometimes necessary for psychologists to be deceptive. Please select the best answer from the choices provided T F
Answer:
True
Explanation:
well I agree somehow though
Answer:
T
Explanation:
Consider a data set of 15 distinct measurements with mean A and median B , if the highest number were increased , what would be the effect on the median and mean?
Answer:
Mean would increase, median will stay the same.
Explanation:
If the highest numbers were to be increased, than the mean (average), would also increase, because you will be dividing a larger number into 15 parts.
However the median (middle number in a data set), will stay the same because if only the top few numbers get their value increased the middle value will still be the same.