For the purposes of a marketing research, a survey of 1000 women is conducted in a town. The results show that 52% liked watching comedies, 45% liked watching fantasy movies and 60% liked watching romantic movies. In addition, 25% liked watching comedy and fantasy both, 28% liked watching romantic and fantasy both and 30% liked watching comedy and romantic movies both. 6% liked watching none of these movie genres.   i. Draw Venn diagram to illustrate all the information.   ii. How many women like watching all the three movie genres?   iii. Find the number of women who like watching only one of the three genres.

Q: An organization holds an annual contest in which bird watchers at various locations around the…

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A: From the graph notice that, the number of hours were shown on the x  axis ( from 0 to 60) and the…

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A: Use Excel or any other software to draw the scatterplot. Enter the data into Excel. Go to insert…

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A: The relationship is positive when an increase in one variable leads to an increase in the other…

Q: 1. For an agility test, fourth grade children jump from side to side across a set of parallel lines,…

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A:

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A:

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Q: a. Complete the​ two-way table summarizing the reviews.

A:

Q: also this last part   Does the mode represent a typical entry of the​ data? Choose the correct…

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A: (i)

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Q: Indiana Iowa 113 123 6.6 8.4 New Mexico New York N. Carolina 37 231 5.5 9.9 73 w. Virginia Wisconsin…

A: Stem Leaves Stem  Leaves 0 8 15   1 1 2 5 6 9  16 2 2 1 7 7  17 5 3 5 7 8   18   4 1 2 7…

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Q: 15% of the students in Business Department are specialising in Human Resource Management ,20% in…

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Q: An online music service surveyed 500 customers and found that 270 listen to hip-hop music, 320…

A: A. Listen to only hip-hop = 100B. Listen to rock and country but not hip-hop = 70C. Don't listen to…

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.