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▹ Answer
<em>q = 16</em>
▹ Step-by-Step Explanation
3(q - 7) = 27
3q - 21 = 27
Add 21 to both sides:
21 + 21 = na
27 + 21 = 48
3q = 48
Divide both sides by 3:
3/3 = q
48/3 = 16
q = 16
Hope this helps!
CloutAnswers ❁
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Answer:
More than 50% would germinate
Step-by-step explanation:
Given that in the production of a plant, a treatment is being evaluated to germinate seed. From a total of 60 seed it was observed that 37 of them germinated
Let us check whether more than 50% will germinate using hypothesis test
(right tailed test)
Sample proportion p =
p difference = 0.117
Test statistic Z = p difference/std error = 1.864
p value =0.0312
Since p value <0.05 our significance level of 5% we reject null hypothesis
It is possible to claim that most of the seed will germinate (i.e. more than 50%)
Hello!
1 foot = 12 inches
12 × 6 = 72
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ANSWER:
Since there are 72 inches in 6 feet, 6 feet are greater than 7 inches.
Given that Lana received 18 ounces of candy and Tom received 4 times as much candy as Lana received, then the number of candy Tom received is given by 4(18) = 72.
Now, given that Tom divided his candy evenly into 9 piles. Then the number of ounces of candy in each of Tom's piles is given by:
72/9 = 8 ounces.
Answer:
A) The brand of cars driven by Harvard instructors
C) The types of plants growing in yellowstone
Step-by-step explanation:
Categorical and numerical variables:
- Numerical data can be expressed with the help of numerical.
- Categorical data cannot be expressed by numerical.
- They do no have any particular value.
- They are the non-parametric data.
- Categorical data are also known as qualitative data.
A) The brand of cars driven by Harvard instructors
Since the brands cannot be expressed in numerical, it is a categorical variable.
B) The age of randomly selected biology students.
The age of student are expressed in whole numbers or decimals. Thus, it is a numerical data.
C) The types of plants growing in yellowstone
Again, the type of plants cannot be expressed with the help of numerical. Thus, it is a categorical variable.
