Answer:
10 banana and 14 apples.
Step-by-step explanation:
First of all he spends 7*12 = 84p on apples.
Now he has £4.16 left.
416 / 40 = 10 remainder 16, so he buys 10 bananas
Now he has 16p so he buys 2 more apples for 14p . This leaves him with 2p of change.
So he buys 10 bananas and 14 apples.
These questions should be asked more clearly.
If 3% is the standard deviation of the average then a 1% decrease in score is a z=-1/3, which is small in absolute value, so we can't reject the claim. In this interpretation we'd answer: -0.33, no.
But if we'll assume 3% is the standard deviation of the individual samples, it's a different story. We use percent as our unit. The standard deviation of the average is
.
So we get a z (really a t) here of
That's kinda borderline, a one sided t test with 29 dfs will give about the same probability as the normal distribution for a tail z=1.8, p=.036 aka p=3.6%. Typically we'd choose a 1% or 5% rejection threshold before we started; this one is in between.
Yes, there is causation between the two given variables, as the weight is related at some point with the amount of calories consumed.
<h3>
What does correlation and causation mean?</h3>
For two variables x and y, we say that there is causation when, if we modify one of the variables, the other changes in response.
Correlation just means that the variables are related in some way (maybe both have a causation relationship with the same other variable)
So causation implies correlation.
Correlation does not imply causation.
In this case, we have the example:
x = The number of additional calories consumed
y = amount of weight gained.
Clearly, we have causation between x and y as larger is the value of x, larger will be the value of x.-
Learn more about correlation.
brainly.com/question/4219149
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Answer:
13.3
Step-by-step explanation:
f² = e² + g² - 2(e)(g)cos(F)
f² = 9² + 18² - 2(9)(18)cos(45)
f² = 175.8974029
f = 13.262631982
