When rounding, only look at the number to the immediate right of the place you are rounding to. In this example that would be the 4. If the number is 5 or more, round up, if it is 4 or less, round down.
Therefore 234.6 rounds to 230
Final answer:
230
Answer:
D - Type of restaurant - fast food or more expensive.
Step-by-step explanation:
By a lurking variable we mean or refer to any variable that is unknown and not controlled for or out of individual control. When there is one or more lurking variables in any study it could results in accidental bias. According to Soares (1985), lurking variables are intrinsic and they are not actually caused by “accidents” in real sense. Hence he suggests that “lurking-variable bias” is a more suitable name for accidental bias.
Concluding that individuals who spend a lot on groceries also spend a lot at restaurants could be misleading in the sense that, groceries may have a more uniform price than restaurant regardless of your social class. For instance, type of restaurant could determine food cost. At some restaurant, food is quite expensive at another food is quite affordable. I may not to go any groceries store in a month but I patronize restaurant to eat daily.
It is also possible I don't patronize restaurants! And yet, I am frequent at groceries store.
In real sense, what I spent at groceries might be nothing compare to what I spend at restaurant and vice versa. Hence, the possible lurking variable is type of restaurant - fast food or more expensive which is unknown and not controlled for.
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Answer with explanation</u>
:</h2>
Let 
be the distance traveled by deluxe tire .
As per given , we have
Null hypothesis : 
Alternative hypothesis : 
Since 
is left-tailed and population standard deviation is known, thus we should perform left-tailed z-test.
Test statistic : 
where, n= sample size
= sample mean
= Population mean
=sample standard deviation
For 
, we have
By using z-value table,
P-value for left tailed test : P(z≤-2.23)=1-P(z<2.23) [∵P(Z≤-z)=1-P(Z≤z)]
=1-0.9871=0.0129
Decision : Since p value (0.0129) < significance level (0.05), so we reject the null hypothesis .
[We reject the null hypothesis when p-value is less than the significance level .]
Conclusion : We do not have enough evidence at 0.05 significance level to support the claim that t its deluxe tire averages at least 50,000 miles before it needs to be replaced.
Answer:
9 tables
Step-by-step explanation:
5 × 1.8 = 9
to find how many tables he made you have to multiply the number he made by 1, then .(whatever the percent is)
Answer:
f(2)= -2
Step-by-step explanation:
We want to find f(n) when n is equal to 2, so we can substitute 2 in for n.
f(n)=n-4
f(2)=2-4
f(2)= -2
