Answer:
54
Step-by-step explanation:
9(6)=54
6(9)=54
54=(30)+(24) 54=54 so it is true
9x6=54
HELP Please
Answer:
it is 10 because 5x2= 10and20-10=10
Answer:
−2x^2+6x
Explanation:
You just have to distribute meaning you have to multiply -2x to the equation.
Answer:
D.
Step-by-step explanation:
If you have a pie for example and you cut it in half you have two seperate big pieces. On the other hand if you you were to cut it for example 1/3 times that 1 piece out of the three would be smaller than your half.
-Hope this helps :)
Answer:
1)10 months 2) 40 cm 3)8in
Step-by-step explanation:
1)1year =12 months
5/6year=?months
cross multiply
5x2=10
------
6x2=12
answer 12months
2)100cm in a meter
100divided by 5=20
1/5=20cm
2/5=40cm
answer:40 cm
3)12in in a foot
12divided by 3=4
1/3=4in
2/3=8 in
answer=8 in
thats all the time I have for now bye
Hey there!
x + 8 = -5
SUBTRACT 8 to BOTH SIDES
x + 8 - 8 = -5 - 8
CANCEL out: 8 - 8 because it give you 0
KEEP: -5 - 8 because it help solve for the x-value
NEW EQUATION: x = -5 - 8
SIMPLIFY IT!
x = -13
Therefore, your answer is: x =-13
Good luck on your assignment and enjoy your day!
~Amphitrite1040:)
Answer:
Step-by-step explanation:
We can subtract 8 from both sides.
-distribution sill get taller and SD will decrease
-distribution will get shorter and SD will decrease
Distribution will get shorter and SD will increase
Answer:
Distribution will get taller and SD will decrease.
Step-by-step explanation:
Sample Size and Standard Deviation:
In a t-distribution, sample size and standard deviation are inversely related.
A larger sample size results in decreased standard deviation and a smaller sample size will result in increased standard deviation.
Sample Size and Shape of t-distribution:
As we increase the sample size, the corresponding degree of freedom increases which causes the t-distribution to like normal distribution. With a considerably larger sample size, the t-distribution and normal distribution are almost identical.
Degree of freedom = n - 1
Where n is the sample size.
The shape of the t-distribution becomes more taller and less spread out as the sample size is increased
Refer to the attached graphs, where the shape of a t-distribution is shown with respect to degrees of freedom and also t-distribution is compared with normal distribution.
We can clearly notice that as the degree of freedom increases, the shape of the t-distribution becomes taller and narrower which means more data at the center rather than at the tails.
Also notice that as the degree of freedom increases, the shape of the t-distribution approaches normal distribution.
In a t-distribution, as the sample size increases, the distribution becomes 'shorter', and the standard deviation decreases following the law of large numbers. The increased sample size reduces variability and introduces less deviation from the mean.
As the sample size increases for a t-distribution, the distribution tends to approach a normal distribution shape, which means the distribution will get 'shorter'. Additionally, the standard deviation (SD) would generally decrease as the sample size increases. This is due to the fact that when sample size increases, a smaller variability is introduced, hence less deviation from the mean.
To illustrate, imagine rolling a dice. If you roll it a few times, you may end up with quite a bit of variation. If you roll it a hundred times, however, the numbers should average out closer to the expected value (3.5 for a six-sided dice), and the standard deviation (a measure of variability) would decrease.
In conclusion, when the sample size increases, a t-distribution will get 'shorter' and SD will decrease. This concept is often referred as the law of large numbers.
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