Simply because ideally, histogram is used in grouped
frequency parameters. Moreover, as little as the given five parameters or data
set this will be ineffective and will result to a bar graph only and basically,
the suited option is the aforementioned vertical graph to display the numbers. To
expound on the definition of histogram it is used when the frequency is
grouped. For example the data set of 1-5, 6-10, 11-15 and 16-20 this now can be
used and applied to illustrate histogram because of the number and quantity of
the given data.
It’s 125 because 5 over 3 is 5 (3) times so 5x5x5= 125 hoped this helped.
Answer:
is 1 i think
Step-by-step explanation:
<h2>
Answer with explanation:</h2>
Given : In a restaurant, the proportion of people who order coffee with their dinner is p.
Sample size : n= 144
x= 120
The null and the alternative hypotheses if you want to test if p is greater than or equal to 0.85 will be :-
Null hypothesis : [ it takes equality (=, ≤, ≥) ]
Alternative hypothesis : [its exactly opposite of null hypothesis]
∵Alternative hypothesis is left tailed, so the test is a left tailed test.
Test statistic :
Using z-vale table ,
Critical value for 0.05 significance ( left-tailed test)=-1.645
Since the calculated value of test statistic is greater than the critical value , so we failed to reject the null hypothesis.
Conclusion : We have enough evidence to support the claim that p is greater than or equal to 0.85.