the reason being that the data used to create the smooth histogram in your photo is likely not the one given in the frequency table. More likely, the values are more or less uniformly distributed in each bin as opposed to being all equal to bin centers.
We use the audit time data in Table 2.4 to illustrate. Begin by using the Data Set Manager to create a StatTools data set for these data using the procedure described in the appendix in Chapter 1. The following steps will generate a histogram. Step 1. Click the StatTools tab on the Ribbon Step 2. In the Analyses Group, click Summary Graphs Step 3.
(where f is frequency) And we can use it like this: Likewise we can add up "frequency times score" this way: (where f is frequency and x is the matching score) And the formula for calculating the mean from a frequency table is:
Excel is powerful tool to create graphs and visualise data and it can be used to create the bell graph. The standard deviation tells how much the data is clustered around the mean of the data. Lower standard deviation tells that the data is less spread and higher standard deviation tells that data is more spread.
Learn How to Calculate the Median from a Frequency Table in Excel. Calculating the median from a frequency table is not as straightforward as many would want to think. Note that when working with a frequency table, the numbers might be repeating themselves a number of times and thus this might make it a little bit hard for us to get the median.
library(tidyr) library(dplyr) gather(df, "var", "value", -RespondentID) %>% count(var, value) %>% group_by(var) %>% # now required with changes to dplyr::count() mutate(prop = prop.table(n)) # Source: local data frame [6 x 4] # Groups: var  # # var value n prop # (fctr) (chr) (int) (dbl) # 1 Color Blue 1 0.2 # 2 Color Red 3 0.6 # 3 Color NA 1 0.2 # 4 Gender F 2 0.4 # 5 Gender M 2 0.4 # 6 Gender NA 1 0.2
Then we can create a table like below, this table is used for displaying the column name, then we need to create relationship between the column 2 and Value of above unpovited table. After that, we can drag the Column 1 as column name, Attribute as the row name and value as the value, we need to set the value as count: