Answer:
Descriptive statistic, Inferential statistic
Step-by-step explanation:
Descriptive Statistic:
- The process of summarizing a data to get insight about the data.
- it consist of measure of central tendency and measure of spread.
- It can be about the entire population or a sample of the population.
- It helps to understand the feature of the data
Inferential statistic:
- It is the method of making generalizations about the entire population based on the sample.
- It help us to make prediction about the population parameter with the help of sample statistic.
- This is done with the help of estimation and hypothesis testing.
Thus, the correct answer is:
Descriptive statistics consists of organizing and summarizing information collected, while inferential statistics uses methods that generalize results obtained from a sample to the population and measure the reliability of the results.
x
1 x 5 = 5
16 x 4 = 64
is the answer
In simplest form the answer would be
because it cant be divided any farther.
Answer: a & b
<u>Step-by-step explanation:</u>
The sum of the probabilities should equal 1.0
a) <u>probability of 5/3 is greater than 1</u> shows that the probability distributions will result in a sum greater than 1.
b) <u>The sum of the probabilities is 31/12</u> shows that the sum of the probability distributions is unequal to 1.0.
c) <u>The result is less than 0</u> is irrelevant. The data could be temperature <em>(or something else which can be measured as a negative value).</em>
d) <u>The probabilities have different denominators</u> is irrelevant. Fractions can be reduced and unlike denominators can be turned into like denominators. The most important thing is that their sum is 1.0.
1 year = 365 days.
It falls behind 1 minute per day:
365 days x 1 minute per day = 365 total minutes
1 hour = 60 minutes:
365 minutes / 60 minutes per hour = 6.083 hours = 6 hours and 5 minutes.
