Answer:
Median
Step-by-step explanation:
The measure of central tendency is used to represent an entire group of data with a common single number. There are three types of measure of central tendency, the mean , the median and the mode. Our focus here is on the median because in any skewed dataset, The median is the best form for a skewed type of distribution. The median is the middle number in an ordered set of data.
In a skewed type of distribution, the mode is the highest point of the distribution. In the measure of central tendency, the mean is mostly influenced by the outliers and it is pulled towards to the tail region of the distribution.
Answer: true
Step-by-step explanation:
Answer:
THE ANSWER IS B. If someone owes something the number is negative, and if someone has money the number is positive, MARK ME BRAINLIEST!!!!!!
Step-by-step explanation:
Based on the information given, the length of fabric that's needed will be 288 inches.
From the information given in the question, we are informed that the side length of the table is 72 inches. Therefore, in order to calculate the fabric needed, we have to find the perimeter and this goes thus:
= 72 inches × 4
= 288 inches.
Therefore, the length of fabric that's needed will be 288 inches.
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Question:
The sample mean foot length of a simple random sample of 25 third-graders is 22.5 cm. The standard error of the mean is 0.8 cm. Which one of the following is a correct interpretation for the standard error of the mean?
The typical distance between each individual foot length in the sample and the sample mean foot length is approximately 0.8 cm.
The typical distance between one sample mean foot length and another sample mean foot length is 0.8 cm.
The typical distance between each individual foot length in the population and the true mean foot length is approximately 0.8 cm.
The typical distance between means of samples of size 25 and the population mean foot length is approximately 0.8 cm
The typical distance between each individual foot length in the sample and the true mean foot length is approximately 0.8 cm.
Answer:
The correct option is:
The typical distance between means of samples of size 25 and the population mean foot length is approximately 0.8 cm
Step-by-step explanation:
The standard error of the mean is a measure of the extent of variation of the mean in a sample of data from that of the value of the mean within the general population. It is a statistical measure of the probability that the size of a particular sample will approach that of the population mean, with reference to the principle of the central limit theorem.
Therefore, the interpretation of the standard error is that the variation between mean in a sample of 25 and that of the population is about 0.8 cm.
