Data that do not conform to the normal pattern or sequence in a standard normal distribution are referred to as: skewed data or outliers?
It is called outliers
Because outliers are defined as the data point which which have different pattern and that different is not similar to a standard normal distribution, that’s why they are called outliers.
Skewed data is nothing but the asymmetric probability distribution of data around the mean, do slwewd data is not the correct answer for this question
Final answer is OUTLIERS
Data that do not conform to the normal pattern or sequence in a standard normal distribution...
QUESTION 5 Which statement concerning the t-distribution is false? O AT follows a standard normal distribution OB. The smaller the degrees of freedom the flatter the curve. OC. The t-distribution has a larger standard deviation than the Standard Normal Curve. OD. T-distributions have a mean of 0. o E. The total area under the density curve depends on the degrees of freedom. QUESTION 6 The t-procedures are robust when A. sample size is 12 and the sample data is not...
For a standard normal distribution, find the percentage of data that are within 1.5 standard deviations from the mean. Group of answer choices Question 1 0.11 pts For a standard normal distribution, find the percentage of data that are within 1.5 standard deviations from the mean. 43.32% 86.64% 93.32% 6.68%
In a standard normal distribution bell curve, the proportion of the total area which must be to the left of the mean is and the total area under the curve is A: between 0.25 and 0.60; 0.50 and 1.20 B: exactly 0.50; 1 C: less than 0.50 if the distribution is skewed to the left; 1 D: more than 0.50 if the distribution is skewed to the right; 1
Q1. 1 mark When the data values are evenly distributed about the mean, a distribution is said to be a a. positively skewed distribution b. negatively skewed distribution c. normal distribution d. skewed distribution S 1 mark Q2. Choose the correct statement for a normal distribution. a. It has no mode b. The mean, median, and mode are equal and are located at the center of the distribution c. The curve crosses the x axis (horizontal axis) at origin d....
How is the t-distribution similar to the standard normal z-distribution? a. Both are symmetrical distributions around zero. b. Both are discrete distributions. c. Both have probability density functions are are defined by "degrees of freedom" d. Both are skewed distributions.
Unit 6 Lesson 3 Classwork (Adapted from Math Vision Project) Data Distribution A lot of information can be obtained from looking at data plots and their distributions. It is important when describing data that we use context to communicate the shape, center, and spread. Shape and spread: Modes: uniform (evenly spread- no obvious mode), unimodal (one main peak), bimodal (two main peaks), or multimodal (multiple locations where the data is relatively higher than others). Skewed distribution: when most data is...
Outliers: We know many types of data fall into a normal distribution with most of the observations falling toward the middle. However, sometimes data are outliers or data that are very different—larger or smaller—from the rest of the members of the sample. Think of an example in the real world of an outlier and discuss its effect.
#10 Use the standard normal distribution table to determine the percent of data between z=0.15 and z= 1.23. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. The percent of data between z= 0.15 and z= 1.23 is (Round to two decimal places as needed.) %
A set of data has a normal distribution with a mean of 47 and a standard deviation of 9. Find the percent of data within the following interval. from 38 to 56 The percent of data within the given interval is»%. (Type an integer or a decimal.)