Row 6666

Row ID: 6666 | Dataset Entry | Axioma AXP Content Repository

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# Hey Data Scientists,

I am preparing for this role, and learning Stats currently. But stuck at understanding criteria to accept or reject Null Hypothesis, I have tried different definitions, but still I'm unable to relate, So, **I am explaining a scenario, and interpreting it with what I have best understanding , Please check and correct me my understanding.**

*Scenario is that average height of Indian men is 165 cm, and I took a sample of 150 men and found out that average height of my sample is 155 cm, My null hypothesis will be, "Average height of men is 165 cm", and my alternate hypothesis will be "Average height of men is less than 165 cm". Now when i put p-value of 0.05, this means that chances of average height= 155 should be less or equal to 5%, So, when I calculate test statistics and comes up with a probability more than 5%, it will mean, chances of average height=155 cm is more than 5 %, therefor we will reject null hypothesis, and In other case if probability was less than or equal to 5%, then we will conclude that, chances of average height=155cm is less than 5% and in actual 95% chances is that average height is more than 155cm there for we will accept null hypothesis.*

FieldValue
text # Hey Data Scientists, I am preparing for this role, and learning Stats currently. But stuck at understanding criteria to accept or reject Null Hypothesis, I have tried different definitions, but still I'm unable to relate, So, **I am explaining a scenario, and interpreting it with what I have best understanding , Please check and correct me my understanding.** *Scenario is that average height of Indian men is 165 cm, and I took a sample of 150 men and found out that average height of my sam…
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-12
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Raw Record

{
  "text": "# Hey Data Scientists, \n\nI am preparing for this role, and learning Stats currently. But stuck at understanding criteria to accept or reject Null Hypothesis, I have tried different definitions, but still I'm unable to relate, So, **I am explaining a scenario, and interpreting it with what I have best understanding , Please check and  correct me my understanding.**\n\n*Scenario is that average height of Indian men is 165 cm, and I took a sample of 150 men and found out that average height of my sample is 155 cm, My null hypothesis will be, \"Average height of men is 165 cm\", and my alternate hypothesis will be \"Average height of men is less than 165 cm\". Now when i put p-value of 0.05, this means  that chances of average height= 155 should be less or equal to 5%, So, when I calculate test statistics and comes up with a probability more than 5%, it will mean, chances of average height=155 cm is more than 5 %, therefor we will reject null hypothesis, and In other case if probability was less than or equal to 5%, then we will conclude that, chances of average height=155cm is less than 5% and in actual 95% chances is that average height is more than 155cm there for we will accept null hypothesis.*",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-12",
  "username_encoded": "Z0FBQUFBQm5LakwzZUNrcmJsaTRKT3VCNEZNcXdlYms4WkJXZDNWWWxJUE9yMjFXcWw5cHpQSFRfX3haN2FYbERhd2dPTkx0RWxERWVrLU1YYTFCX2lXU3p1TVJWb3dyM3c9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9HVWpfa2t5X2xpNVdtaDRmbUp3bzBaYlVtNFQ2UWFjRWNzNnRjLUV0MHJmbmUzeUpSRmhLVUh0NkRkeHhDV25COVJRaHJvNDEyWGUwMlRTeUdXMjVZX0pFME5RazhsVFR3MDcybHN1V3dWd2dtU1F4R2NIVnNXcjBlbGhJb0NrajZJYnlBNEZNSkhRZmdTd19tZ1V5TTJwZG1wajBCOEZoT0YtczlqTjNwS2RGSHRHY0swWUVhZWhJWVVEOTZETTdkck81N3M1cWFwZUExY2JRbDdaYmxEZz09"
}
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