Assignment 5 on Chapter 4

Using the frequency distribution below determines the first upper class boundary  Height inches 50-54.99 frequency 3 Height inches 55-59.99 frequency 8 Height inches 60-64.99 frequency 6 Height inches 65-69.99 frequency 3

Student Performance Results Pre- Post- Pre- Post- Student ID LG1 (%) LG1 (%) LG2 (%) LG2 (%) Pre- Assessment Assessment Assessment Assessment Assessment Assessment LG3 (%) 1 70 85 75 80 90 80 098 Post- LG3 (%) 85 2 75 90 90 80 85 75 90 96 3 80 85 75 1 90 70 85 4 75 90 70 85 75 00 90 5 70 85 75 90 90 6 75 50 00 80 95 85 90 80 85 75 90 7 80 85 75 90 90 70 85 8 75 90 70 85 75 90 9 70 85 75 90 80 85 10 ° 75 55 90 80 85 75 90 11 80 85 75 90 00 12 75 90 20 70 70 85 85 75 90 13 70 85 75 90 80 85 55 14 75 90 80 85 75 90 15 80 85 75 90 70 85 16 75 90 70 85 75 90 17 70 85 75 90 80 85

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State and describe some possible causes of assignable variation ?

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Failing to identify a hypothesized difference using a sample result when a difference really does exist in the population is a ____ error.   options are    primary secondary type I Type II

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Descriptive Statistics Analysis Results Current Battery.                          Proposed Battery Mean 598.7             Mean 697 Standard error 7.816009212.     Standard error 3.431876714 Median 602.                          Median 700 Mode 620.                                  Mode 710 Standard deviation 24.71639132.    Standard deviation 10.85254706 Sample variance 610.9        Sample variance 117.7777778 Range 86.                      Range 31 Minimum 534.                 Minimum 679 Maximum 620.                   Maximum 710 Sum 5,987                               Sum 6,970 Count 10 g.                            Count 10 *Battery time between charges shown in minutes Create a 1 slide infograph

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Calculate the mean and standard deviation for the following distribution Class 1 2 5 6-10 10-20 20-30 30-50 50-70 70-100 f 3 4 10 23 20 20 15 3 2

’cause-effect graphing’ which was sometimes used to help derive the decision table

What are similarities of Interrupted Time Series and Regression Discontinuity? What are some differences?

Explain at least two data sampling technique.

A survey of 40 retail store reported the following amount of sales (in thousand) held in the month of September. Number of Sales Frequency 10-14 3 15-19 5 20-24 12 25-29 9 30-34 8 35-39 3 What is the standard deviation? What is the sample variance?

In 800 words, What is non probability sampling and explain the types of the sample

A sample of 100 cans of coffee showed an average weight of 13 ounces. The population standard deviation is 0.8 ounces. Construct a 96% MOE.     0.77     0.88     1     0.164 Sample:    n=   Mean=   s=   confidence level=   z_alpha/2=   MOE=

If every 13th item is systematically sampled to produce a sample size of 72 items, approximately how large is the population?

state the effect on planned evidence (increase or decrease) of changing each of 'AN INCREASE IN PLANNED DETECTION RISK' factor, while the other factors remain unchanged.

Variables Fil Filter variables here Name Label sex Sex age Age mrd Marital Status educ Education of Individual cworker Class of Worker region Region race race/ethnicity earnings height weight 1. Complete the following Stata operation with data Earnings_and_Height.dta: 1. Describe the variable earnings at height less than or equal to 67 inches and at height greater than 67 inches. Draw the frequency distribution of the two cases. 2. Calculate the difference of earnings in the above two cases, save as a scalar difference. 3. Use the scatter command to draw with earnings as the Y axis, height as the X axis, and "income" as the Y axis name, "height" as the X axis name. 4. Using hours as the dependent variable and height as the independent variable, we estimated the wages of 67, 70, and 65 inches, respectively. Properties Label Type Format Value label Notes Data E 5. The variable height height in centimeters is generated and a monadic linear regression is performed with earnings as the…