75 = 3·5², so has 6 divisors. 6 rectangles are possible if you make the distinction between 1×75 and 75×1.
60 = 2²·3·5, so has 12 divisors. 12 rectangles are possible under the same conditions.
The cupcake table can be arranged more ways.
_____
When 1 is added to each exponent of the prime factors, the product of those sums is the number of divisors. For 75: (1+1)(1+2) = 6; for 60: (1+2)(1+1)(1+1) = 12.
Arrangement is simply the order, which items are displayed or presented.
The table of 60 lemon cupcakes allow more rectangular arrangements
The given parameters are:
The rectangular arrangement (R) is calculated as follows:
Where n represents the number of items, and Area represents the area of the rectangular table
For the oatmeal, we have:
For the lemon, we have:
By comparison, 0.0167Area is greater than 0.0133Area
Hence, the table of 60 lemon cupcakes allow more rectangular arrangement
Read more about arrangements at:
Has condition Does not have condition totals
Test positive
Test negative
Totals
What is the probability (as a percentage) that a person has the condition if he or she tests positive? (Round your answer to one decimal place.)
Solution:
Population in the city= 10,000
As genetic condition affects 8% of the population.
8 % of 10,000
As, it is also given that, there is an error rate of 1% for condition (i.e., 1% false negatives and 1% false positives).
So, 1% false negatives means out of 800 tested who are found affected , means there are chances that 1% who was found affected are not affected at all.
So, 1% of 800
Also, 1% false positives means out of 10,000 tested,[10,000-800= 9200] who are found not affected , means there are chances that 1% who was found not affected can be affected also.
So, 1% of 9200
1. Has condition Does not have condition totals = 800
2. Test positive =92
3. Test negative =8
4. Total =800 +92 +8=900
5. Probability (as a percentage) that a person has the condition if he or she tests positive= As 8% are found positive among 10,000 means 9200 are not found affected.But there are chances that out of 9200 , 1% may be affected
that is Probability equal to 0.01 or 1%.
What is the solution to the story?
13.80
10.60
07.00
8.25
Answer:
C. $7.00
Step-by-step explanation:
8 times 7 is 56 + 5 = 61
Answer:
C
Step-by-step explanation:
OB. Rx) = (x + 1)2
OC. Rx) = -1(x - 1)
OD. Rx) = -1(x + 1)2
Reset
Next
Considering it's y-intercept and vertex, the equation of the parabola is given by:
The equation of a quadratic function, of vertex (h,k), is given by:
In which a is the leading coefficient.
In this problem, the vertex is (1,0), hence h = 1, k = 0 and:
The y-intercept is of 1, hence, when x = 0, y = 1, so:
Hence, the equation is:
More can be learned about the equation of a parabola at brainly.com/question/24737967
Answer:
A
Step-by-step explanation:
The equation of a parabola in vertex form is
y = a(x - h)² + k
where (h, k) are the coordinates of the vertex and a is a multiplier
Here (h, k) = (1, 0) , thus
y = a(x - 1)² + 0
To find a substitute the coordinates of the y- intercept (0, 1) into the equation
1 = a(- 1)² = a , thus
a = 1
y = (x - 1)² → A
earned mowing lawns?
Let x represent the amount of money Gloria earned mowing lawns.
We have been given that Gloria earned a total of $810 over the summer. She earned $162 babysitting and the rest from mowing lawns.
The total amount earned by Gloria would be amount earned from baby sitting and lawn mowing that is .
Now we will equate total earnings of Gloria by 810 as:
Therefore, Gloria earned $648 from mowing lawns.
Answer:
Gloria earned $648 from mowing lawns
Step-by-step explanation:
-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.
#SPJ6